[FCO] AI Programming with Python Nanodegree v2.0.0
File List
- Part 06-Module 02-Lesson 01_Calculus in Neural Networks/03. Chapterr 2 Neural Networks-f8PYXDsSBpM.mp4 59.2 MB
- Part 06-Module 02-Lesson 01_Calculus in Neural Networks/02. Chapterr 1 Neural Networks-hYB4ku0kmW8.mp4 50.6 MB
- Part 06-Module 02-Lesson 01_Calculus in Neural Networks/04. Chapterr 3 Neural Networks-Wr5qCQ48t8E.mp4 38.5 MB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 34.6 MB
- Part 06-Module 01-Lesson 01_Calculus/12. Chapterr 10 Calculus-1BLFuSXfgMY.mp4 32.1 MB
- Part 06-Module 01-Lesson 01_Calculus/10. Chapter 8 Calculus-gKZvmxtM79Q.mp4 29.1 MB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 28.4 MB
- Part 06-Module 01-Lesson 01_Calculus/03. Chapter 1 Calculusss-ss3NSODhFJI.mp4 28.0 MB
- Part 06-Module 01-Lesson 01_Calculus/08. Chapter 6 Calculus-2cNiF9ebdL0.mp4 27.1 MB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 27.1 MB
- Part 06-Module 01-Lesson 01_Calculus/09. Chapter 7 Claculus-5aL7Fn-9NnQ.mp4 27.1 MB
- Part 13-Module 01-Lesson 06_Support Vector Machines/06. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.mp4 26.8 MB
- Part 06-Module 01-Lesson 01_Calculus/04. Chapter 2 Calculus-mzEit_Oe13E.mp4 25.5 MB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4 24.9 MB
- Part 06-Module 01-Lesson 01_Calculus/05. Chapter 3 Calculus-mzllBDdtjIg.mp4 23.7 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.mp4 23.7 MB
- Part 06-Module 01-Lesson 01_Calculus/06. Chapter 4 Claculus--Ti33VDPA7s.mp4 23.3 MB
- Part 06-Module 01-Lesson 01_Calculus/07. Chapter 5 Calculus-QsEJGPVxsB8.mp4 22.1 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.mp4 21.6 MB
- Part 13-Module 01-Lesson 05_Naive Bayes/02. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4 21.1 MB
- Part 01-Module 02-Lesson 01_Programming with Python/05. Whitespace-UxkIwcOczQQ.mp4 21.0 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.mp4 21.0 MB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/09. Linear Transformations 1-99jYIxBRDww.mp4 20.8 MB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/11. Linear Transformations 3-g_yTyRwMzXU.mp4 20.1 MB
- Part 03-Module 01-Lesson 03_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.mp4 19.9 MB
- Part 06-Module 01-Lesson 01_Calculus/11. Chapterr 9 Calculus-OF3awXGM4k0.mp4 19.2 MB
- Part 03-Module 01-Lesson 04_Functions/14. Iterators And Generators-tYH8X4Zeh-0.mp4 18.9 MB
- Part 13-Module 01-Lesson 06_Support Vector Machines/07. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.mp4 18.6 MB
- Part 03-Module 01-Lesson 03_Control Flow/10. For Loops-UtX0PXSUCdY.mp4 18.4 MB
- Part 03-Module 01-Lesson 03_Control Flow/02. If Elif and Else-KZubH5XT0eU.mp4 18.3 MB
- Part 03-Module 01-Lesson 03_Control Flow/30. List Comprehensions-6qxo-NV9v_s.mp4 17.4 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/13. Strings-ySZDrs-nNqg.mp4 17.3 MB
- Part 03-Module 01-Lesson 03_Control Flow/02. If Statements-jWiIUMrwPqA.mp4 17.0 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/05. L2 04b Variables II V3-4IJqbP8vi6A.mp4 16.8 MB
- Part 06-Module 02-Lesson 01_Calculus in Neural Networks/05. Chapterr 4 Neural Networks-_d52fwoXXd4.mp4 16.3 MB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.mp4 15.9 MB
- Part 03-Module 01-Lesson 04_Functions/08. Documentation-_Vl9NJkA6JQ.mp4 15.9 MB
- Part 03-Module 01-Lesson 03_Control Flow/27. Zip and Enumerate-bSJPzVArE7M.mp4 15.7 MB
- Part 03-Module 01-Lesson 04_Functions/02. Defining Functions-IP_tJYhynbc.mp4 15.5 MB
- Part 01-Module 02-Lesson 01_Programming with Python/05. Números inteiros e floats-MiJ1vfWp-Ts.mp4 15.4 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/08. Números inteiros e floats-MiJ1vfWp-Ts.mp4 15.4 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/05. Variables-7pxpUot4x0w.mp4 15.3 MB
- Part 03-Module 01-Lesson 03_Control Flow/07. Complex Boolean Expressions-gWmIKWgzFqI.mp4 15.1 MB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.mp4 14.6 MB
- Part 04-Module 01-Lesson 03_NumPy/05. NumPy 2 V1-KR3hHf9Zxxg.mp4 14.2 MB
- Part 05-Module 01-Lesson 03_Linear Combination/02. Linear Combinations 2-RsKJNDTb8nw.mp4 14.2 MB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.mp4 13.8 MB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/10. Linear Transformations 2-imtEd8M6__s.mp4 13.5 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/24. L2 06 Lists Methods V1-tz2Ja1Eaeqo.mp4 13.3 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/01. Introduction-4F7SC0C6tfQ.mp4 13.3 MB
- Part 03-Module 01-Lesson 03_Control Flow/24. Break and Continue-F6qJAv9ts9Y.mp4 13.2 MB
- Part 10-Module 01-Lesson 01_Turtles and Code/09. Python Modules And Methods-SlmX9X66vDQ.mp4 12.9 MB
- Part 03-Module 01-Lesson 03_Control Flow/07. Truth Value Testing-e52uw7ejV8k.mp4 12.8 MB
- Part 11-Module 01-Lesson 03_Review a Repo's History/01. A Repository's History - Intro-UBmg3syQS0E.mp4 12.3 MB
- Part 10-Module 01-Lesson 01_Turtles and Code/04. Python Variables-VPnV3RdoB7Q.mp4 11.7 MB
- Part 03-Module 01-Lesson 05_Scripting/20. Importing Files-qjeSn6zZbR0.mp4 11.4 MB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/03. Gradient Descent-Math-7sxA5Ap8AWM.mp4 11.3 MB
- Part 01-Module 02-Lesson 01_Programming with Python/04. Arithmetic Operators-M8TIOK2P2yw.mp4 11.1 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/02. Arithmetic Operators-M8TIOK2P2yw.mp4 11.1 MB
- Part 03-Module 01-Lesson 03_Control Flow/19. L3 08 While Loops V3-7Sf5tcPlKQw.mp4 10.9 MB
- Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files-w-ZG6DMkVi4.mp4 10.8 MB
- Part 12-Module 01-Lesson 01_Shell Workshop/01. Shell Intro--EtN5oD8MM0.mp4 10.8 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/30. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.mp4 10.7 MB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.mp4 10.3 MB
- Part 04-Module 01-Lesson 01_Anaconda/02. Why Anaconda-VXukXZv7SCQ.mp4 10.3 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/05. Assignment Operators-p_qfzL-x3Cs.mp4 10.1 MB
- Part 06-Module 02-Lesson 01_Calculus in Neural Networks/06. Gradient Computation Example-_K7lzXqyj8I.mp4 9.9 MB
- Part 04-Module 01-Lesson 03_NumPy/08. NumPy 4 V1-jeU7lLgyMms.mp4 9.8 MB
- Part 13-Module 01-Lesson 08_Outro/01. Conclusion-hJEuaOUu2yA.mp4 9.7 MB
- Part 09-Module 01-Lesson 01_How Do I Continue From Here/01. Next Steps Into The AI World Outro-40CCUu30w8c.mp4 9.7 MB
- Part 13-Module 01-Lesson 06_Support Vector Machines/05. SVM 10 Polynomial Kernel 2 V2-9RfFvZ9DIRg.mp4 9.7 MB
- Part 01-Module 01-Lesson 01_Welcome to the Program/02. AIPND Intro FINAL-CeXA-uzNFp4.mp4 9.6 MB
- Part 02-Module 01-Lesson 01_Welcome to AI Programming/01. AIPND Intro FINAL-CeXA-uzNFp4.mp4 9.6 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/16. Type Type Conversion-yN6Fam_vZrU.mp4 9.4 MB
- Part 13-Module 01-Lesson 06_Support Vector Machines/09. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.mp4 9.3 MB
- Part 03-Module 01-Lesson 04_Functions/05. Variable Scope-rYubQlAM-gw.mp4 9.0 MB
- Part 11-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 01 Welcome-lbR82UD5F0c.mp4 8.9 MB
- Part 03-Module 01-Lesson 04_Functions/01. Introduction-p5L4rTV1Pgk.mp4 8.9 MB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/03. Dolly Inside Head 1 -tyam5ZncjNw.mp4 8.7 MB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/02. Essence Of Linear Algebra Intro -EHcxDZpeGFg.mp4 8.6 MB
- Part 05-Module 01-Lesson 01_Introduction/03. Essence Of Linear Algebra Intro -EHcxDZpeGFg.mp4 8.6 MB
- Part 06-Module 01-Lesson 01_Calculus/13. Multivariable Chain Rule Example-wXDy3P6F_P8.mp4 8.6 MB
- Part 04-Module 01-Lesson 03_NumPy/07. NumPy 3 V1-Rt4aydeo9F8.mp4 8.5 MB
- Part 13-Module 01-Lesson 05_Naive Bayes/01. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.mp4 8.5 MB
- Part 01-Module 02-Lesson 01_Programming with Python/03. L1 02 استعراض البرنامج التدريبي V4-vFxXSIV5cHM.mp4 8.4 MB
- Part 03-Module 01-Lesson 01_Why Python Programming/04. L1 02 Course Overview V4-vFxXSIV5cHM.mp4 8.4 MB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/09. AIPND Python Lab - Mutable Data Types and Functions Video-LIOmuZdLymw.mp4 8.3 MB
- Part 11-Module 02-Lesson 01_Working With Remotes/01. Intro-SBUOhyXcR1Q.mp4 8.3 MB
- Part 05-Module 01-Lesson 03_Linear Combination/01. Linear Combinations 1-fmal7UE7dEE.mp4 8.3 MB
- Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/04. Object Oriented Programming Syntax-Y8ZVw1LHI8E.mp4 8.3 MB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/04. AIPND Python Lab - Workspace How-to Video-EQTttywUnXQ.mp4 8.2 MB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing In Action-cL6ehKtJLUM.mp4 8.2 MB
- Part 04-Module 01-Lesson 04_Pandas/12. Pandas 7 V1-ruTYp-twXO0.mp4 8.1 MB
- Part 03-Module 01-Lesson 04_Functions/11. L4 08 Lambda Expressions V3-wkEmPz1peJM.mp4 8.0 MB
- Part 01-Module 01-Lesson 01_Welcome to the Program/03. AIPND Instructors FINAL V5-h0_y3eb_3m4.mp4 8.0 MB
- Part 02-Module 01-Lesson 01_Welcome to AI Programming/02. AIPND Instructors FINAL V5-h0_y3eb_3m4.mp4 8.0 MB
- Part 04-Module 01-Lesson 04_Pandas/10. Pandas 6 V1-GS1kj04XQcM.mp4 7.9 MB
- Part 04-Module 01-Lesson 04_Pandas/09. Pandas 5 V1-lClsJnZn_7w.mp4 7.9 MB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-resolve-merge-conflict.gif 7.7 MB
- Part 03-Module 01-Lesson 03_Control Flow/02. Indentation-G8qUNOTHtrM.mp4 7.6 MB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/02. L2 - Pushing To A Fork-WRgNpr19t48.mp4 7.6 MB
- Part 07-Module 01-Lesson 03_Training Neural Networks/07. Regularization-ndYnUrx8xvs.mp4 7.6 MB
- Part 01-Module 04-Lesson 01_Neural Networks/01. Introduction-tn-CrUTkCUc.mp4 7.5 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/02. Introduction-tn-CrUTkCUc.mp4 7.5 MB
- Part 04-Module 01-Lesson 03_NumPy/04. NumPy 1 V1-EOHW29kDg7w.mp4 7.5 MB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.mp4 7.5 MB
- Part 03-Module 01-Lesson 05_Scripting/06. Programming Environment Setup-EKxDnCK0NAk.mp4 7.4 MB
- Part 03-Module 01-Lesson 05_Scripting/25. Third Party Libraries And Package Managers-epOze9gC6T4.mp4 7.4 MB
- Part 01-Module 04-Lesson 01_Neural Networks/06. Error Functions-jfKShxGAbok.mp4 7.2 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/14. Error Functions-jfKShxGAbok.mp4 7.2 MB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/02. Jupyter-qiYDWFLyXvg.mp4 7.1 MB
- Part 13-Module 01-Lesson 06_Support Vector Machines/04. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.mp4 7.1 MB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/06. L2 031 Levels Of Measurement And Types Of Data V6-3Plhn5Q4xIA.mp4 7.1 MB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/10. DataVis L3 03 V2-srRhFrSPdvs.mp4 7.0 MB
- Part 04-Module 01-Lesson 04_Pandas/08. Pandas 4 V1-eMHUn9v9dds.mp4 6.9 MB
- Part 11-Module 01-Lesson 02_Create A Git Repo/01. Creating New Repositories - Intro-KT163BkqIeg.mp4 6.8 MB
- Part 13-Module 01-Lesson 01_Intro/01. Introduction-bYeteZQrUcE.mp4 6.8 MB
- Part 03-Module 01-Lesson 05_Scripting/02. Python Installation-2_P05aYChqQ.mp4 6.7 MB
- Part 04-Module 01-Lesson 03_NumPy/11. NumPy 6 V1-wtLRuGK0kW4.mp4 6.6 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/21. CrossEntropy V1-1BnhC6e0TFw.mp4 6.6 MB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/01. Tagging, Branching, And Merging - Intro-sMf_r4_z-Ls.mp4 6.6 MB
- Part 05-Module 02-Lesson 02_Linear Combination Lab/02. AIPND Linear Algebra Linear Combination Solution v2-eMYcAqnR8N4.mp4 6.6 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. Backpropagation V2-1SmY3TZTyUk.mp4 6.5 MB
- Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/03. L3 03 Class Obj Methods Attributes V1 1 V2-yvVMJt09HuA.mp4 6.5 MB
- Part 07-Module 01-Lesson 03_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.mp4 6.4 MB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/10. L3 031 Bar Charts V3-ybXcduB6cXA.mp4 6.4 MB
- Part 13-Module 01-Lesson 04_Decision Trees/03. Recommending Apps-nEvW8B1HNq4.mp4 6.3 MB
- Part 11-Module 01-Lesson 06_Undoing Changes/01. Undoing Changes - Intro-Kfi7l41wUVc.mp4 6.3 MB
- Part 05-Module 01-Lesson 02_Vectors/03. Vectors 3-mWV_MpEjz9c.mp4 6.3 MB
- Part 11-Module 01-Lesson 03_Review a Repo's History/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.mp4 6.2 MB
- Part 13-Module 01-Lesson 05_Naive Bayes/03. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.mp4 6.1 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/21. L2 08 Lists And Membership Operators V2-JAbZdZg5_x8.mp4 6.1 MB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/14. L3 071 Pie Charts V3-kSrJGJHTKV8.mp4 6.1 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/28. L2 03 Sets V2-eIHNFgTFfnA.mp4 5.9 MB
- Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Part II-1GRv1S6K8gQ.mp4 5.9 MB
- Part 03-Module 01-Lesson 03_Control Flow/01. Introduction-eUrvACMMJ5w.mp4 5.9 MB
- Part 13-Module 01-Lesson 06_Support Vector Machines/03. SVM 03 Error Function V1-l-ahImxoi-U.mp4 5.9 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/18. Maximum Likelihood 1-1yJx-QtlvNI.mp4 5.7 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 5.7 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/21. L2 09 Lists And Membership Operators V2-rNV_E50wcWM.mp4 5.7 MB
- Part 03-Module 01-Lesson 04_Functions/02. Default Arguments-cG6UfBZX2KI.mp4 5.6 MB
- Part 10-Module 01-Lesson 01_Turtles and Code/01. Python Welcome To Python Programming-_XOoHSQIkkw.mp4 5.6 MB
- Part 03-Module 01-Lesson 05_Scripting/26. Experimenting With An Interpreter-hspPtnQwMPg.mp4 5.6 MB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/07. LinearAlgebra 07 FeedForward PAIND85 V3-pvF6jpS_-cU.mp4 5.5 MB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/03. L1 061 Visualization In Python V1-MFS-1veFC_c.mp4 5.5 MB
- Part 13-Module 01-Lesson 04_Decision Trees/05. Student Admissions-TdgBi6LtOB8.mp4 5.4 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/15. L4 151 Lesson Summary V1-5igqM44KEmw.mp4 5.4 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs. Continuous-Rm2KxFaPiJg.mp4 5.3 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4 5.3 MB
- Part 03-Module 01-Lesson 05_Scripting/23. Techniques For Importing Modules-jPGyFgcIvsM.mp4 5.3 MB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/02. Forking a Repository - What Is Forking-z4mkVwqVztc.mp4 5.3 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/24. L2 05 Lists Methods V1-WXkPm4rv6ng.mp4 5.3 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/02. L4 021 Scatterplots And Correlation V2-wqMwTDVT9_Y.mp4 5.3 MB
- Part 03-Module 01-Lesson 05_Scripting/08. Scripting With Raw Input-Fs9uLV2qfgI.mp4 5.2 MB
- Part 01-Module 02-Lesson 01_Programming with Python/01. L1 01 المقدمة V3-yyNtiUyI5Tw.mp4 5.2 MB
- Part 03-Module 01-Lesson 01_Why Python Programming/02. L1 01 Intro V3-yyNtiUyI5Tw.mp4 5.2 MB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/15. DataVis L3 08 V2-f1we_0dUSXg.mp4 5.2 MB
- Part 10-Module 01-Lesson 01_Turtles and Code/28. Python Rainbow Turtle Walkthrough-P50aMPx-zYI.mp4 5.1 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4 5.1 MB
- Part 04-Module 01-Lesson 03_NumPy/09. NumPy 5 V1-vGjI-WTnEbY.mp4 5.1 MB
- Part 13-Module 01-Lesson 06_Support Vector Machines/08. SVM 13 RBF Kernel 2 V1-ozl9UWVP0MI.mp4 5.1 MB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.mp4 5.0 MB
- Part 03-Module 01-Lesson 05_Scripting/23. Techniques For Importing Modules Part II-aASigWQ_XU0.mp4 5.0 MB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/07. Outro-5eyvsMvAPYs.mp4 5.0 MB
- Part 07-Module 01-Lesson 03_Training Neural Networks/05. Model Complexity Graph-NnS0FJyVcDQ.mp4 4.9 MB
- Part 10-Module 01-Lesson 01_Turtles and Code/08. Python Finding Errors Solution-mmlAuiQKAFI.mp4 4.9 MB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/03. Vectors 1-oPBz-MLVUHk.mp4 4.9 MB
- Part 05-Module 01-Lesson 02_Vectors/01. Vectors 1-oPBz-MLVUHk.mp4 4.9 MB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/20. L3 121 Scales And Transformations V3-PE53ga2bOME.mp4 4.8 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/23. Error Function-V5kkHldUlVU.mp4 4.8 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/21. L2 07 Lists And Membership Operators II V3-3Nj-b-ZzqH8.mp4 4.8 MB
- Part 10-Module 01-Lesson 01_Turtles and Code/08. Python Finding Errors-h0fOdBumbbk.mp4 4.8 MB
- Part 13-Module 01-Lesson 04_Decision Trees/01. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.mp4 4.8 MB
- Part 01-Module 04-Lesson 01_Neural Networks/07. Combinando modelos-Boy3zHVrWB4.mp4 4.7 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Combinando modelos-Boy3zHVrWB4.mp4 4.7 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/03. L4 031 Overplotting Transparency And Jitter 1 V4-BGqR-nxgMtg.mp4 4.7 MB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/04. AIPND-Preview - Linear Algebra Lab -Jupyter Notebook How-to -P8ZMzlDrYOw.mp4 4.6 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/11. L4 111 Faceting V2-oUYRqI6wFGw.mp4 4.6 MB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/19. L3 111 Descriptive Stats Outliers And Axis Limits V2-kQoK7UwrGh0.mp4 4.6 MB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/06. Linear Algebra 06 FeedForward A V7 PAIND83 V1-kQ6rNndcA1I.mp4 4.6 MB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/02. L3 - Pull Request In Action-d3AGtKmHxUk.mp4 4.6 MB
- Part 10-Module 01-Lesson 01_Turtles and Code/19. Python Looping Over Lists-Lqpn7C-RBzY.mp4 4.5 MB
- Part 10-Module 01-Lesson 01_Turtles and Code/22. Python Nested Loops-TmnSQqfTvws.mp4 4.5 MB
- Part 03-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.mp4 4.5 MB
- Part 12-Module 01-Lesson 01_Shell Workshop/02. Ud206 002 P0 Windows Installing Git Bash-UQZvV6VTlGQ.mp4 4.4 MB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing Introduction-mRbeT2XVL9w.mp4 4.4 MB
- Part 11-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.mp4 4.4 MB
- Part 11-Module 01-Lesson 03_Review a Repo's History/07. A Repository's History - Outro-9rUf2HbdAd8.mp4 4.4 MB
- Part 04-Module 01-Lesson 03_NumPy/03. NumPy 0 V1-vyjMs8KFHlE.mp4 4.3 MB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/11. DataVis L3 04 V2-HLum_ys7RJ0.mp4 4.3 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/04. L4 041 Heat Maps V4-RyCdvsmBjtE.mp4 4.3 MB
- Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/02. L3 02 Proced Vs OOP V1 V3-psXD_J8FnCQ.mp4 4.3 MB
- Part 03-Module 01-Lesson 05_Scripting/13. Handling Errors Try Except Finally-S6hwBZG0KwM.mp4 4.2 MB
- Part 03-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.mp4 4.2 MB
- Part 11-Module 01-Lesson 03_Review a Repo's History/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.mp4 4.2 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/20. Cross Entropy 1-iREoPUrpXvE.mp4 4.2 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/09. L4 091 Clustered Bar Charts V4-0rFp55TtEJM.mp4 4.2 MB
- Part 07-Module 01-Lesson 03_Training Neural Networks/08. Dropout-Ty6K6YiGdBs.mp4 4.2 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/34. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.mp4 4.2 MB
- Part 13-Module 01-Lesson 04_Decision Trees/02. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.mp4 4.2 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/12. L4 121 Adaptations Of Univariate Plots V3-MXcqplnUB0o.mp4 4.2 MB
- Part 13-Module 01-Lesson 04_Decision Trees/04. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.mp4 4.2 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4 4.1 MB
- Part 11-Module 02-Lesson 01_Working With Remotes/02. L1 - Remote Repos Intro-AnSlYftJnwA.mp4 4.1 MB
- Part 01-Module 02-Lesson 01_Programming with Python/02. L1 03 البرمجة باستخدام لغة Python V4-O1cTNYAjeeg.mp4 4.0 MB
- Part 03-Module 01-Lesson 01_Why Python Programming/03. L1 03 Programming In Python V4-O1cTNYAjeeg.mp4 4.0 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/07. L4 071 Box Plots V4-3gxJag12T0g.mp4 4.0 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4 4.0 MB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/06. Course Wrap Up-66Ut8Bv6kgc.mp4 4.0 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/26. L2 04 Tuples V3-33xN-AbTMoc.mp4 4.0 MB
- Part 07-Module 01-Lesson 03_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4 4.0 MB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/04. L3 011 Intro V3-4BpAF4MYKm8.mp4 3.9 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/05. Linear Boundaries-X-uMlsBi07k.mp4 3.8 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/18. Maximum Likelihood 2-6nUUeQ9AeUA.mp4 3.8 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/13. L4 131 Line Plots V1-kSntEWPuOa0.mp4 3.8 MB
- Part 04-Module 01-Lesson 04_Pandas/04. Pandas 1 V1-iXnYN8cnhzs.mp4 3.8 MB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/07. Outro-ot4fPX1jzOI.mp4 3.8 MB
- Part 11-Module 01-Lesson 01_What is Version Control/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.mp4 3.8 MB
- Part 04-Module 01-Lesson 04_Pandas/05. Pandas 2 V1-B7MuFIwboKU.mp4 3.8 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/24. Gradient Descent-rhVIF-nigrY.mp4 3.8 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/03. Data Vis L4 C03 V1-0F6ldBC6Nbs.mp4 3.8 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/13. Data Vis L4 C13 V1-Z7NjwA6jbjU.mp4 3.7 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/09. Data Vis L4 C09 V1-OnzWhpgM9Vs.mp4 3.7 MB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/05. LinearAlgebra 05 RNN FFNN Reminder PAIND 82mp4 V1-SSgQRH-V-1k.mp4 3.7 MB
- Part 12-Module 01-Lesson 01_Shell Workshop/15. Ud206 020 Shell P13 Controlling The Shell Prompt ($PS1)-nnqvRZ-Fx3k.mp4 3.7 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4 3.7 MB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/22. L3 141 Lesson Summary V1-7ZaSMbsJUWU.mp4 3.6 MB
- Part 11-Module 01-Lesson 01_What is Version Control/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.mp4 3.6 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/02. Data Vis L4 C02 V1-wBDC5AmYgyg.mp4 3.6 MB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 26 Branching Overview-ywcOC6CLG4s.mp4 3.6 MB
- Part 01-Module 04-Lesson 01_Neural Networks/05. Error Functions-YfUUunxWIJw.mp4 3.5 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions-YfUUunxWIJw.mp4 3.5 MB
- Part 04-Module 01-Lesson 04_Pandas/06. Pandas 3 V1-yhMT0X6YPFA.mp4 3.5 MB
- Part 11-Module 01-Lesson 01_What is Version Control/06. Onward-iXbMaTwfIJI.mp4 3.5 MB
- Part 10-Module 01-Lesson 01_Turtles and Code/21. Python Mystery Shape Walkthrough-9yEiInrUQAU.mp4 3.5 MB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/07. Backpropagation-MZL97-2joxQ.mp4 3.4 MB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/01. Intro-VkqtlJuZ9rs.mp4 3.4 MB
- Part 12-Module 01-Lesson 01_Shell Workshop/17. Ud206 022 Shell Workshop Outro-68twTPXPrx0.mp4 3.4 MB
- Part 03-Module 01-Lesson 05_Scripting/11. Errors And Exceptions-DmthSiy2d0U.mp4 3.4 MB
- Part 13-Module 01-Lesson 07_Ensemble Methods/01. MLND SL EM 01 Intro V1 MAIN V2-5v9KqIo6CFE.mp4 3.4 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/01. L4 011 Intro V2-JzvJIWG8Rk4.mp4 3.4 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/06. L4 061 Violin Plots 2 V3-0hr61L-LZyM.mp4 3.3 MB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.mp4 3.3 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. Calculating The Gradient 1 -tVuZDbUrzzI.mp4 3.3 MB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/06. AIPND Linear Algebra Vectors Lab Solution1 v1-xk-JNxMzlsQ.mp4 3.3 MB
- Part 05-Module 02-Lesson 01_Vectors Lab/02. AIPND Linear Algebra Vectors Lab Solution1 v1-xk-JNxMzlsQ.mp4 3.3 MB
- Part 11-Module 02-Lesson 01_Working With Remotes/05. L1 - Adding A Commit On GitHub-UBYxcTg6VLU.mp4 3.3 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/04. Data Vis L4 C04 V1-O6ElT4IFXc0.mp4 3.2 MB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/01. Intro-j5RmK0UHOTY.mp4 3.2 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.mp4 3.2 MB
- Part 12-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7 - Downloading-h7FhU1f4TgE.mp4 3.2 MB
- Part 03-Module 01-Lesson 05_Scripting/13. Handling Error Specifying Exceptions-EHW5I7shdJg.mp4 3.2 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/11. Data Vis L4 C11 V1-3Ls6w8Cd8n4.mp4 3.2 MB
- Part 12-Module 01-Lesson 01_Shell Workshop/14. Ud206 018 P12 Startup Files (.bash_profile)--zF-XebfzBE.mp4 3.1 MB
- Part 01-Module 04-Lesson 01_Neural Networks/07. Layers-pg99FkXYK0M.mp4 3.1 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Layers-pg99FkXYK0M.mp4 3.1 MB
- Part 03-Module 01-Lesson 03_Control Flow/33. Congrats!-vDoqpwCHxs4.mp4 3.1 MB
- Part 12-Module 01-Lesson 01_Shell Workshop/12. Ud206 016 Shell P10 - Searching And Pipes-AWpVScp9z4s.mp4 3.1 MB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/20. DataVis L3 12 V2-fo0VIbQRBJk.mp4 3.0 MB
- Part 12-Module 01-Lesson 01_Shell Workshop/03. Ud206 003 Shell P1 - Opening A Terminal-4q6Vtym-nno.mp4 3.0 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/06. Data Vis L4 C06 V2-f8Kh4PByiEA.mp4 3.0 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz - Cross 1--xxrisIvD0E.mp4 3.0 MB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/03. L3 - Include Upstream Changes-VvoC6hN6FjU.mp4 3.0 MB
- Part 10-Module 01-Lesson 01_Turtles and Code/16. Python Looping With For Loops-8XmmUg1qdJE.mp4 3.0 MB
- Part 07-Module 01-Lesson 03_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.mp4 3.0 MB
- Part 11-Module 01-Lesson 02_Create A Git Repo/05. Create A Repo - Outro-h7j4STDFCjs.mp4 3.0 MB
- Part 13-Module 01-Lesson 06_Support Vector Machines/02. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.mp4 2.9 MB
- Part 05-Module 02-Lesson 03_Linear Mapping Lab/04. AIPND Linear Algebra Plotting a Transformed Vector v3-lmF-V8emukA.mp4 2.9 MB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/15. L3 081 Histograms V2-RLez9L0htGQ.mp4 2.9 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp4 2.9 MB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/02. PROJECT INTRO MAIN V2---9IFCNBM6Y.mp4 2.9 MB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/06. Multilayer perceptrons-Rs9petvTBLk.mp4 2.8 MB
- Part 03-Module 01-Lesson 05_Scripting/28. Conclusion-rEMrswkLvh8.mp4 2.8 MB
- Part 01-Module 04-Lesson 01_Neural Networks/07. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4 2.8 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4 2.8 MB
- Part 11-Module 02-Lesson 01_Working With Remotes/07. Lesson Wrap Up-6Koa4nAu-04.mp4 2.8 MB
- Part 11-Module 01-Lesson 01_What is Version Control/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 11 Google Docs Revision History Walkthrough-GcvvbdKEchk.mp4 2.8 MB
- Part 10-Module 01-Lesson 01_Turtles and Code/07. Python Moving And Turning-_APxiaRZg_0.mp4 2.7 MB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/06. AIPND Linear Algebra Vectors Lab Solution2 v1-UJGRYNl2ZFo.mp4 2.7 MB
- Part 05-Module 02-Lesson 01_Vectors Lab/02. AIPND Linear Algebra Vectors Lab Solution2 v1-UJGRYNl2ZFo.mp4 2.7 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/09. AND And OR Perceptrons-45K5N0P9wJk.mp4 2.7 MB
- Part 11-Module 01-Lesson 06_Undoing Changes/06. Course Outro-twn_cheqoK8.mp4 2.7 MB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 15 Git The Big Picture-dVil8e0yptQ.mp4 2.6 MB
- Part 11-Module 02-Lesson 01_Working With Remotes/03. L1 - New Repo Git Commands On GitHub-myuGLZLYpYY.mp4 2.6 MB
- Part 11-Module 01-Lesson 06_Undoing Changes/05. Undoing Changes--_PPVk2UZMU.mp4 2.6 MB
- Part 10-Module 01-Lesson 01_Turtles and Code/13. Python Using Variables-i7nff81Gr8U.mp4 2.6 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/06. 09 Higher Dimensions-eBHunImDmWw.mp4 2.6 MB
- Part 03-Module 01-Lesson 05_Scripting/05. Running A Python Script-vMKemwCderg.mp4 2.6 MB
- Part 10-Module 01-Lesson 01_Turtles and Code/06. Python Walking Through The Code Part 2-qjNbBZAPOlQ.mp4 2.5 MB
- Part 12-Module 01-Lesson 01_Shell Workshop/08. Ud206 009 Shell P6 - Organizing Your Files-NZsYyzzpJXA.mp4 2.5 MB
- Part 03-Module 01-Lesson 02_Data Types and Operators/37. Conclusion-LLEZadlXM8A.mp4 2.5 MB
- Part 05-Module 01-Lesson 02_Vectors/02. Vectors 2-R7WiQYixvRQ.mp4 2.5 MB
- Part 12-Module 01-Lesson 01_Shell Workshop/16. Ud206 021 Shell P14 Aliases-kINmpgXxayM.mp4 2.5 MB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/02. Gradient Descent-29PmNG7fuuM.mp4 2.5 MB
- Part 05-Module 02-Lesson 03_Linear Mapping Lab/04. AIPND Linear Algebra Matrix Multiplication v2-TavNlmrIuwI.mp4 2.5 MB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing In Theory-H5JqcdIB5y0.mp4 2.4 MB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/11. L3 041 Absolute V Relative Frequency V5-FpnZ7dH4FqU.mp4 2.4 MB
- Part 13-Module 01-Lesson 07_Ensemble Methods/02. MLND SL EM 02 Bagging V1 MAIN V1-9L_B0Jcio3c.mp4 2.3 MB
- Part 07-Module 01-Lesson 03_Training Neural Networks/12. Other Activation Functions-kA-1vUt6cvQ.mp4 2.3 MB
- Part 05-Module 02-Lesson 03_Linear Mapping Lab/04. AIPND Linear Algebra Currency Conversion Problem v2-wmHk5cL5NJA.mp4 2.3 MB
- Part 10-Module 01-Lesson 01_Turtles and Code/28. Python Rainbow Turtle-jV_0sC9BVUw.mp4 2.3 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.mp4 2.3 MB
- Part 11-Module 01-Lesson 03_Review a Repo's History/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.mp4 2.2 MB
- Part 12-Module 01-Lesson 01_Shell Workshop/06. Ud206 007 Shell P4 - Current Working Directory-X7dsy3oMHp0.mp4 2.2 MB
- Part 13-Module 01-Lesson 07_Ensemble Methods/03. MLND SL EM 03 AdaBoost V1 MAIN V1-HD6SRBWKGUE.mp4 2.2 MB
- Part 07-Module 01-Lesson 03_Training Neural Networks/15. Momentum-r-rYz_PEWC8.mp4 2.1 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-Linear Data-F7ZiE8PQiSc.mp4 2.1 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/12. Data Vis L4 C12 V2-aJncRqqJUYI.mp4 2.1 MB
- Part 11-Module 01-Lesson 06_Undoing Changes/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.mp4 2.1 MB
- Part 12-Module 01-Lesson 01_Shell Workshop/04. Ud206 004 Shell P2 - Your First Command-ggf5WhOYy1U.mp4 2.1 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.mp4 2.1 MB
- Part 01-Module 04-Lesson 01_Neural Networks/02. Classsification Example-Dh625piH7Z0.mp4 2.1 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/03. Classsification Example-Dh625piH7Z0.mp4 2.1 MB
- Part 13-Module 01-Lesson 03_Logistic Regression/01. Classsification Example-Dh625piH7Z0.mp4 2.1 MB
- Part 12-Module 01-Lesson 01_Shell Workshop/07. Ud206 008 Shell P5 - Parameters-UX9mzq11Mmg.mp4 2.1 MB
- Part 12-Module 01-Lesson 01_Shell Workshop/13. Ud206 017 Shell P11 - Variables-Dx3WlMZk8iA.mp4 2.0 MB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-add-to-staging-recap.gif 2.0 MB
- Part 07-Module 01-Lesson 03_Training Neural Networks/03. Testing-EeBZpb-PSac.mp4 2.0 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/25. Gradient Descent Algorithm-snxmBgi_GeU.mp4 2.0 MB
- Part 10-Module 01-Lesson 01_Turtles and Code/06. Python Walking Through The Code Part 3-xh7_q1Q2Irc.mp4 2.0 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. DL 18 S Softmax-n8S-v_LCTms.mp4 1.9 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. Perceptron Algorithm--zhTROHtscQ.mp4 1.9 MB
- Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Using With-OQ-Y0mMjm00.mp4 1.9 MB
- Part 01-Module 04-Lesson 01_Neural Networks/07. Multiclass Classification-uNTtvxwfox0.mp4 1.9 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Multiclass Classification-uNTtvxwfox0.mp4 1.9 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz Cross Entropy-njq6bYrPqSU.mp4 1.9 MB
- Part 11-Module 01-Lesson 03_Review a Repo's History/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.mp4 1.9 MB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/07. Data Vis L4 C07 V1-f6v3L3IDo24.mp4 1.8 MB
- Part 12-Module 01-Lesson 01_Shell Workshop/05. Ud206 006 Shell P3 - Navigating Directories-i9Xp94DmdB8.mp4 1.8 MB
- Part 13-Module 01-Lesson 05_Naive Bayes/04. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.mp4 1.8 MB
- Part 10-Module 01-Lesson 01_Turtles and Code/28. Python Rainbow Turtle Walkthrough, Part 2-uIg5-eaaqGs.mp4 1.8 MB
- Part 12-Module 01-Lesson 01_Shell Workshop/11. Ud206 014 Shell P9 - Removing Things-it19PvJarbk.mp4 1.7 MB
- Part 07-Module 01-Lesson 03_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.mp4 1.7 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.mp4 1.7 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4 1.7 MB
- Part 10-Module 01-Lesson 01_Turtles and Code/03. Python Walking Through The Code-nBj8D_meKsA.mp4 1.7 MB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/02. L3 - Pull Request In Theory-twLr9ndsf90.mp4 1.6 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/17. One-Hot Encoding-AePvjhyvsBo.mp4 1.6 MB
- Part 01-Module 04-Lesson 01_Neural Networks/03. Classification Example-46PywnGa_cQ.mp4 1.6 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/04. Classification Example-46PywnGa_cQ.mp4 1.6 MB
- Part 13-Module 01-Lesson 03_Logistic Regression/02. Classification Example-46PywnGa_cQ.mp4 1.6 MB
- Part 11-Module 01-Lesson 03_Review a Repo's History/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.mp4 1.6 MB
- Part 02-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.48.22-pm.png 1.6 MB
- Part 13-Module 01-Lesson 06_Support Vector Machines/01. SVM 01 Which Line Is Better V1-NCml_NCvd1I.mp4 1.6 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.mp4 1.5 MB
- Part 13-Module 01-Lesson 02_Linear Regression/01. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.mp4 1.5 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. Chain Rule-YAhIBOnbt54.mp4 1.5 MB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 71 Merging-gQiWicrreJg.mp4 1.4 MB
- Part 06-Module 02-Lesson 01_Calculus in Neural Networks/img/screen-shot-2018-09-20-at-11.53.08-am.png 1.4 MB
- Part 01-Module 01-Lesson 01_Welcome to the Program/img/screen-shot-2018-08-29-at-2.32.04-pm.png 1.4 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/12. Non-Linear Regions-B8UrWnHh1Wc.mp4 1.3 MB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/19. DataVis L3 11 V1-C8DGwJa_adA.mp4 1.3 MB
- Part 07-Module 01-Lesson 03_Training Neural Networks/11. Vanishing Gradient-W_JJm_5syFw.mp4 1.3 MB
- Part 12-Module 01-Lesson 01_Shell Workshop/10. Ud206 013 Shell P8 - Viewing Files-hPPVMKqbQV0.mp4 1.3 MB
- Part 11-Module 02-Lesson 01_Working With Remotes/06. L1 - Fetch Merge And Push-jwyQUfE1Eqw.mp4 1.3 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/29. Continuous Perceptrons-07-JJ-aGEfM.mp4 1.1 MB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/31. Non-Linear Models-HWuBKCZsCo8.mp4 1.1 MB
- Part 13-Module 01-Lesson 02_Linear Regression/03. Fitting A Line-gkdoknEEcaI.mp4 1.1 MB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 03 Tagging Overview-D4VdXT72ASE.mp4 1.1 MB
- Part 07-Module 01-Lesson 03_Training Neural Networks/06. DL 53 Q Regularization-KxROxcRsHL8.mp4 1.0 MB
- Part 06-Module 01-Lesson 01_Calculus/img/screen-shot-2018-08-16-at-3.00.21-pm.png 1018.6 KB
- Part 13-Module 01-Lesson 02_Linear Regression/02. Solution Housing Prices-uhdTulw9-Nc.mp4 1001.4 KB
- Part 01-Module 04-Lesson 01_Neural Networks/04. Why Neural Networks-zAkzOZntK6Y.mp4 982.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/08. Why Neural Networks-zAkzOZntK6Y.mp4 982.3 KB
- Part 11-Module 01-Lesson 02_Create A Git Repo/img/ud123-l2-course-git-blog-project-in-browser.png 968.5 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/09. XOR Perceptron-TF83GfjYLdw.mp4 947.0 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/14. Learning Rate-TwJ8aSZoh2U.mp4 927.0 KB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.mp4 909.0 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/05. L1 - Git Pull In Theory-MjNU2LTDVAA.mp4 898.5 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/img/screen-shot-2018-02-16-at-12.49.05-pm.png 881.4 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/02. L1 - Sending Branches To Remote-414f0ukhOTY.mp4 826.6 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/09. Local Minima-gF_sW_nY-xw.mp4 819.9 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7.1 - Downloading Solution-1oEJUA-b0kE.mp4 806.4 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/06. Pull Vs Fetch-kxXdk2HcOBo.mp4 787.9 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/img/screen-shot-2018-01-31-at-2.52.19-pm.png 753.9 KB
- Part 01-Module 04-Lesson 01_Neural Networks/img/student-quiz.png 749.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/student-quiz.png 749.0 KB
- Part 13-Module 01-Lesson 03_Logistic Regression/img/student-quiz.png 749.0 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/04. L1 - Git Push In Theory-21TvMEtMRys.mp4 656.1 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-github-homepage-new-repo-button.png 632.6 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/and-to-or.png 606.1 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-github-homepage.png 596.7 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-merge-fast-forward.gif 595.4 KB
- Part 04-Module 01-Lesson 01_Anaconda/media/conda_default_install.mp4 595.3 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-04-issue-comments.png 581.5 KB
- Part 05-Module 01-Lesson 01_Introduction/img/grant.png 569.9 KB
- Part 02-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-9.59.16-pm.png 529.2 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/img/ud456-l3-04-pull-request-comment.png 519.7 KB
- Part 03-Module 01-Lesson 01_Why Python Programming/img/screen-shot-2018-03-19-at-2.30.59-pm.png 507.4 KB
- Part 04-Module 01-Lesson 03_NumPy/img/screen-shot-2018-03-19-at-2.30.59-pm.png 507.4 KB
- Part 04-Module 01-Lesson 04_Pandas/img/screen-shot-2018-03-19-at-2.30.59-pm.png 507.4 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-04-lighthouse-issues.png 505.7 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/img/ud123-l3-git-log-vs-git-log-oneline.png 504.6 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/img/screen-shot-2018-03-19-at-2.39.10-pm.png 499.6 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.mp4 499.5 KB
- Part 13-Module 01-Lesson 02_Linear Regression/img/house.png 491.5 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/img/ud123-l3-project-in-editor.png 490.1 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/screen-shot-2018-03-19-at-3.49.28-pm.png 471.6 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/img/screen-shot-2018-03-19-at-3.49.28-pm.png 471.6 KB
- assets/img/udacimak.png 461.1 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-04-new-issue-button.png 456.2 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/img/ud456-l3-03-watched-repos.png 450.8 KB
- Part 04-Module 01-Lesson 01_Anaconda/img/screen-shot-2018-03-19-at-2.49.57-pm.png 442.5 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/img/screen-shot-2018-03-19-at-2.49.57-pm.png 442.5 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/img/screen-shot-2018-03-19-at-2.49.57-pm.png 442.5 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/img/screen-shot-2018-03-19-at-2.49.57-pm.png 442.5 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/tidy-data-three.png 437.6 KB
- Part 02-Module 01-Lesson 02_Get Help from Peers and Mentors/img/image4.png 436.5 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/img/ud456-l3-03-starred-repos.png 433.9 KB
- Part 04-Module 01-Lesson 01_Anaconda/img/conda-search.png 430.8 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-project-github-no-commits.png 413.3 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-04-commit-count-remote.png 408.7 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/img/ud123-l3-git-log-vs-git-log-stat.png 404.3 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/img/screen-shot-2018-01-31-at-2.22.49-pm.png 402.0 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/tidy-data-four.png 397.9 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.mp4 395.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/or-quiz.png 393.6 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/tidy-data-one.png 390.4 KB
- Part 11-Module 01-Lesson 01_What is Version Control/img/ud123-l1-google-docs-saving-progress.gif 390.0 KB
- Part 11-Module 01-Lesson 01_What is Version Control/img/ud123-l1-git-course-outline.png 378.4 KB
- Part 02-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.49.50-pm.png 375.5 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/tidy-data-two.png 371.8 KB
- Part 02-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-10.23.07-pm.png 366.1 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-commit-details-section.png 364.4 KB
- Part 05-Module 01-Lesson 01_Introduction/img/screen-shot-2018-01-19-at-1.14.23-pm.png 358.6 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-add.gif 352.8 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/img/screen-shot-2018-01-31-at-10.45.20-am.png 352.5 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-04-lighthouse-contributing-file.png 340.5 KB
- Part 04-Module 01-Lesson 03_NumPy/img/screen-shot-2018-03-19-at-3.21.24-pm.png 339.9 KB
- Part 04-Module 01-Lesson 04_Pandas/img/screen-shot-2018-03-19-at-3.21.24-pm.png 339.9 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-merge-conflict-indicators.png 336.0 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-github-create-repo-page.png 331.7 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/media/Markdown+cells.mp4 330.4 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-project-push-commits.png 328.3 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-04-submit-new-issue.png 327.2 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-04-git-pull.png 325.5 KB
- Part 05-Module 01-Lesson 03_Linear Combination/img/screen-shot-2018-01-26-at-11.05.49-pm.png 323.9 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-merge-conflict-prep2.png 321.1 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-commit-initial-commit.png 318.6 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-03-git-shortlog.png 318.3 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/img/screen-shot-2018-02-10-at-8.59.39-pm.png 314.4 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-commit-editor.png 313.1 KB
- Part 03-Module 01-Lesson 05_Scripting/img/generate-messages-output.png 310.5 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-merge-conflict-prep.png 303.7 KB
- Part 02-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-09-at-6.28.07-pm.png 300.0 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-03-clone-lighthouse-project.png 300.0 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-03-commit-with-description.png 296.1 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/img/screen-shot-2018-02-10-at-9.00.30-pm.png 295.9 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/img/ud123-l3-git-log-output.png 286.4 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/img/screen-shot-2018-01-06-at-10.44.48-pm.png 285.5 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-04-sign-contributor-license.png 284.7 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-editor-with-tag-message.png 280.9 KB
- Part 05-Module 01-Lesson 01_Introduction/img/screen-shot-2018-01-19-at-1.05.48-pm.png 279.7 KB
- Part 01-Module 01-Lesson 01_Welcome to the Program/img/screen-shot-2018-08-29-at-2.27.45-pm.png 278.4 KB
- Part 01-Module 01-Lesson 01_Welcome to the Program/img/screen-shot-2018-08-29-at-2.23.37-pm.png 270.5 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/img/ud123-l3-git-log-p-lines-removed-annotated.png 265.9 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/and-quiz.png 265.8 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-log-decorate.png 265.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4 260.0 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-03-git-log-author.png 255.4 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-git-remote-add-terminal.png 249.3 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/screen-shot-2018-03-19-at-3.41.27-pm.png 249.0 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-log-graph-all.png 248.4 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-03-git-shortlog-flags.png 248.4 KB
- Part 01-Module 01-Lesson 01_Welcome to the Program/img/screen-shot-2018-08-29-at-2.26.02-pm.png 239.7 KB
- Part 02-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.49.34-pm.png 239.0 KB
- assets/js/katex.min.js 231.3 KB
- Part 02-Module 01-Lesson 02_Get Help from Peers and Mentors/img/image8.png 228.1 KB
- Part 01-Module 05-Lesson 01_Ready to Level Up with AI/img/screen-shot-2018-08-29-at-3.50.35-pm.png 226.2 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-status-with-untracked.png 223.0 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-status-after-git-add.png 222.3 KB
- Part 02-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-9.55.40-pm.png 222.2 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/img/screen-shot-2018-01-30-at-5.14.39-pm.png 220.3 KB
- Part 05-Module 01-Lesson 01_Introduction/img/screen-shot-2018-01-19-at-2.24.21-pm.png 218.7 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/media/notebook+interface.mp4 215.5 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/xor.png 215.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/meme.png 209.0 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-status-modified-files.png 208.5 KB
- Part 01-Module 05-Lesson 01_Ready to Level Up with AI/img/screen-shot-2018-08-29-at-3.52.39-pm.png 208.2 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/img/ud123-l3-git-log-stat.gif 206.7 KB
- Part 11-Module 01-Lesson 02_Create A Git Repo/img/ud123-l2-.git-directory.png 205.8 KB
- Part 05-Module 01-Lesson 02_Vectors/img/screen-shot-2018-01-24-at-3.13.49-pm.png 204.6 KB
- Part 04-Module 01-Lesson 01_Anaconda/media/conda_install.mp4 201.7 KB
- Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/img/screen-shot-2018-07-19-at-4.05.25-pm.png 201.3 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-merge-conflict.png 193.7 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-ignore-word-doc.png 192.8 KB
- Part 13-Module 01-Lesson 04_Decision Trees/img/table.png 192.1 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-status-all-files.png 191.9 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-gitignore.png 191.4 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-git-remote-from-clone.png 186.2 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-project-on-github.png 185.5 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-commit-finished.png 184.7 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-checkout-b-footer-master.png 183.9 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-project-on-github-focus.png 183.8 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/img/turtle-draw.jpg 181.1 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-tag-delete.png 180.4 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/mat-headshot.png 180.0 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-diff.png 179.5 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-merge-sidebar.png 177.0 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/img/ud123-l3-git-status-output.png 174.2 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/media/command+palette.mp4 169.2 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-status.png 167.5 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-changes-add-color.png 164.2 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/img/magic-timeit.png 157.3 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/img/server-shutdown.png 155.4 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/img/ud123-l6-git-revert-prep.png 155.0 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-02-git-fork-error.png 155.0 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-checkout-sidebar.png 154.2 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/img/ud456-l3-03-rename-repos.png 153.2 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/img/screen-shot-2018-05-11-at-11.03.34-am.png 151.0 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-branch-sidebar.png 149.4 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-04-commit-count-local.png 147.5 KB
- Part 11-Module 01-Lesson 02_Create A Git Repo/img/ud123-l2-git-clone.gif 147.4 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-git-remote-shortname.png 147.1 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/img/workspaces-submit.png 146.2 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/img/workspaces-gpu.png 145.5 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-my-travel-plans-project.png 145.3 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-branch.png 144.2 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-log-branches.png 143.8 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/img/ud456-l3-03-git-log-of-upstream-changes.png 143.8 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/img/workspaces-notebook.png 142.9 KB
- Part 13-Module 01-Lesson 04_Decision Trees/img/recommending-apps.png 140.6 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-git-remote-no-remote.png 140.4 KB
- index.html 139.8 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-tag.png 139.7 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/img/screen-shot-2018-01-31-at-4.14.50-pm.png 139.5 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/img/ud456-l3-03-add-upstream-remote.png 137.9 KB
- assets/css/bootstrap.min.css 137.6 KB
- Part 13-Module 01-Lesson 05_Naive Bayes/img/spamham.png 135.1 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-branch-asterisk.png 134.9 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-project-commits.png 131.8 KB
- Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/img/screen-shot-2018-07-19-at-4.06.55-pm.png 130.0 KB
- assets/js/plyr.polyfilled.min.js 126.2 KB
- Part 05-Module 01-Lesson 01_Introduction/img/screen-shot-2018-01-19-at-1.58.00-pm.png 126.0 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/img/ud123-l6-git-revert-mixed.png 125.9 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-log-pre-tag.png 124.7 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/admissions-data.png 118.4 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/img/screen-shot-2018-02-14-at-6.07.26-pm.png 117.4 KB
- Part 05-Module 01-Lesson 01_Introduction/img/screen-shot-2018-01-19-at-1.57.42-pm.png 114.2 KB
- Part 11-Module 01-Lesson 02_Create A Git Repo/img/ud123-l2-base-directory-git-repo.png 113.6 KB
- Part 05-Module 01-Lesson 02_Vectors/img/screen-shot-2018-01-24-at-2.27.07-pm.png 113.2 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-commit-terminal-hangs.png 111.0 KB
- Part 02-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.38.47-pm.png 110.6 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-new-git-project.png 110.4 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/img/ud123-l3-git-log-p.png 110.1 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/img/conda-tab.png 109.9 KB
- Part 11-Module 01-Lesson 02_Create A Git Repo/img/ud123-l2-new-git-project.png 106.5 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/img/notebook-server.png 103.3 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/img/screen-shot-2018-02-14-at-3.59.39-pm.png 102.9 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/img/new-notebook.png 101.8 KB
- Part 01-Module 05-Lesson 01_Ready to Level Up with AI/img/screen-shot-2018-08-29-at-3.51.34-pm.png 100.0 KB
- Part 05-Module 01-Lesson 01_Introduction/img/screen-shot-2018-04-02-at-4.25.41-pm.png 97.6 KB
- Part 04-Module 01-Lesson 01_Anaconda/media/conda_enter.mp4 97.3 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/img/ud123-l6-git-revert-soft.png 95.8 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/img/screen-shot-2018-01-30-at-4.39.42-pm.png 95.5 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/img/notebook-json.png 95.3 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/img/ud123-l6-git-revert-hard.png 95.2 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/xor-quiz.png 94.1 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/img/workspaces-menu.png 94.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/perceptronquiz.png 93.7 KB
- Part 11-Module 01-Lesson 01_What is Version Control/img/ud123-l1-terminal-config-windows.png 93.2 KB
- Part 05-Module 01-Lesson 02_Vectors/img/screen-shot-2018-01-23-at-11.30.13-am.png 92.8 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/example-data.png 92.1 KB
- Part 13-Module 01-Lesson 04_Decision Trees/img/student-data.png 91.9 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/img/magic-matplotlib.png 90.7 KB
- Part 05-Module 01-Lesson 01_Introduction/img/screen-shot-2018-01-19-at-2.28.03-pm.png 90.7 KB
- Part 01-Module 01-Lesson 01_Welcome to the Program/img/screen-shot-2018-08-29-at-2.28.54-pm.png 90.6 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/img/ud456-l3-03-git-remotes-origin.png 89.3 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/img/ud456-l3-03-fetch-upstream-changes.png 88.1 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/img/regularization-quiz.png 87.9 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/img/workspaces-new.png 85.2 KB
- assets/js/jquery-3.3.1.min.js 84.9 KB
- Part 05-Module 01-Lesson 03_Linear Combination/img/screen-shot-2018-01-29-at-11.51.35-am.png 84.3 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/img/workspaces-jupyter.png 83.5 KB
- Part 11-Module 01-Lesson 02_Create A Git Repo/img/ud123-l2-base-directory.png 82.6 KB
- Part 04-Module 01-Lesson 01_Anaconda/img/conda-install.png 81.1 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/img/polynomial-kernel-2-quiz.png 79.6 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/img/notebook-download.png 79.5 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/likertscale.png 79.5 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/matrix-mult-3.png 79.0 KB
- Part 11-Module 01-Lesson 02_Create A Git Repo/img/ud123-l2-git-init.gif 75.9 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/img/ud123-l6-git-revert-post.png 74.2 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/img/nbconvert-example.png 73.3 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/gradient-descent.png 72.0 KB
- Part 04-Module 01-Lesson 01_Anaconda/img/conda-create-env.png 70.8 KB
- Part 11-Module 01-Lesson 02_Create A Git Repo/img/ud123-l2-git-status-blog-project.gif 70.8 KB
- img/5-neural-networks.jpg 70.4 KB
- assets/css/fonts/KaTeX_AMS-Regular.ttf 69.8 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/img/magic-pdb.png 68.6 KB
- assets/css/fonts/KaTeX_Main-Regular.ttf 68.4 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-nav-bar-new-repo-link.png 68.2 KB
- Part 01-Module 05-Lesson 01_Ready to Level Up with AI/img/screen-shot-2018-08-29-at-3.53.21-pm.png 65.7 KB
- Part 05-Module 01-Lesson 03_Linear Combination/img/screen-shot-2018-01-29-at-11.49.47-am.png 65.4 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-02-clone-linked-to-fork.png 65.4 KB
- Part 11-Module 01-Lesson 02_Create A Git Repo/img/ud123-l2-git-status-new-project.gif 65.4 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/img/screen-shot-2018-01-31-at-4.29.38-pm.png 64.3 KB
- Part 04-Module 01-Lesson 01_Anaconda/img/conda-env-export.png 64.1 KB
- Part 05-Module 01-Lesson 01_Introduction/img/cp1a9390.jpg 63.7 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/img/cp1a9390.jpg 63.7 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/points.png 63.2 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/img/notebook-shutdown.png 62.3 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/img/slides-cell-toolbar-menu.png 61.4 KB
- assets/css/fonts/KaTeX_Main-Bold.ttf 60.3 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/network-with-labeled-weights.png 59.4 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/img/magic-timeit2.png 56.1 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/derivative-example.png 55.1 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-branch-current.png 54.5 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/img/slides-choose-slide-type.png 53.3 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/network-with-labeled-nodes.png 52.0 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/input-times-weights.png 51.8 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/img/screen-shot-2018-02-14-at-10.47.52-am.png 51.5 KB
- assets/js/bootstrap.min.js 49.8 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/multilayer-diagram-weights.png 48.6 KB
- Part 05-Module 01-Lesson 02_Vectors/img/screen-shot-2018-03-21-at-2.40.42-pm.png 48.5 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/img/screen-shot-2018-02-01-at-12.10.40-am.png 47.5 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/img/screen-shot-2018-02-16-at-12.50.25-pm.png 47.1 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/img/workspaces-terminal.png 46.9 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c20-ridgeline1.png 46.9 KB
- assets/css/fonts/KaTeX_Main-Italic.ttf 46.8 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c18-swarmplot1.png 45.2 KB
- Part 05-Module 01-Lesson 03_Linear Combination/img/screen-shot-2018-01-26-at-10.16.48-pm.png 44.5 KB
- Part 05-Module 01-Lesson 03_Linear Combination/img/screen-shot-2018-01-26-at-11.16.45-pm.png 44.4 KB
- assets/js/jquery.mCustomScrollbar.concat.min.js 44.4 KB
- Part 05-Module 01-Lesson 03_Linear Combination/img/screen-shot-2018-01-26-at-11.21.42-pm.png 44.2 KB
- assets/css/fonts/KaTeX_Main-BoldItalic.ttf 43.8 KB
- Part 03-Module 01-Lesson 05_Scripting/img/step6-testrun.png 43.4 KB
- Part 05-Module 01-Lesson 03_Linear Combination/img/screen-shot-2018-01-26-at-11.48.02-pm.png 43.3 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/img/aipnd-intropythonlab-results.png 43.2 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-02-multiple-remote-repos.png 42.8 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/img/rainbow-examples.png 42.4 KB
- Part 05-Module 01-Lesson 02_Vectors/img/screen-shot-2018-01-23-at-10.49.16-am.png 42.4 KB
- assets/css/jquery.mCustomScrollbar.min.css 41.8 KB
- Part 11-Module 01-Lesson 01_What is Version Control/img/ud123-l1-terminal-config-mac.png 41.5 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c13-lineplot1.png 40.5 KB
- assets/css/fonts/KaTeX_Math-Italic.ttf 40.5 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/img/conda-environments.png 40.1 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/img/screen-shot-2017-11-22-at-2.54.14-pm.png 39.7 KB
- assets/css/fonts/KaTeX_AMS-Regular.woff 39.3 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-02-local-and-remote-repos.png 38.9 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c20-ridgeline3.png 38.8 KB
- assets/css/fonts/KaTeX_Math-BoldItalic.ttf 38.8 KB
- assets/css/fonts/KaTeX_Main-Regular.woff 38.5 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/img/screen-shot-2018-01-31-at-4.25.16-pm.png 38.4 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/local-minima.png 38.1 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c15-kde1.png 35.9 KB
- assets/css/fonts/KaTeX_Main-Bold.woff 35.9 KB
- assets/css/fonts/KaTeX_Typewriter-Regular.ttf 35.5 KB
- Part 04-Module 01-Lesson 04_Pandas/12. Loading Data into a Pandas DataFrame.html 35.2 KB
- assets/css/fonts/KaTeX_Fraktur-Bold.ttf 35.1 KB
- assets/css/fonts/KaTeX_Fraktur-Regular.ttf 33.8 KB
- assets/css/fonts/KaTeX_SansSerif-Bold.ttf 33.2 KB
- Part 04-Module 01-Lesson 04_Pandas/10. Dealing with NaN.html 32.9 KB
- assets/css/fonts/KaTeX_AMS-Regular.woff2 32.4 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c12-adaptations3.png 32.4 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c13-lineplot5.png 32.2 KB
- Part 05-Module 01-Lesson 03_Linear Combination/img/screen-shot-2018-03-28-at-5.15.59-pm.png 32.1 KB
- assets/css/fonts/KaTeX_Main-Regular.woff2 32.1 KB
- Part 05-Module 01-Lesson 03_Linear Combination/img/screen-shot-2018-03-28-at-5.11.09-pm.png 32.1 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/03. Add A Remote Repository.html 32.1 KB
- Part 05-Module 01-Lesson 03_Linear Combination/img/screen-shot-2018-03-28-at-4.44.34-pm.png 30.8 KB
- assets/css/fonts/KaTeX_SansSerif-Italic.ttf 30.6 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/img/notebook-components.png 30.2 KB
- assets/css/fonts/KaTeX_Main-Bold.woff2 29.9 KB
- assets/css/fonts/KaTeX_SansSerif-Regular.ttf 29.4 KB
- Part 04-Module 01-Lesson 04_Pandas/09. Accessing Elements in Pandas DataFrames.html 29.4 KB
- Part 06-Module 01-Lesson 01_Calculus/12. Chapterr 10 Calculus-1BLFuSXfgMY.en.vtt 29.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l5-c03-color2.png 28.5 KB
- Part 04-Module 01-Lesson 03_NumPy/05. Using Built-in Functions to Create ndarrays.html 28.3 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c17-rugplot2.png 28.0 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/04. Branching Effectively.html 27.9 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c20-ridgeline2.png 27.5 KB
- Part 05-Module 01-Lesson 01_Introduction/img/img-4646.jpg 27.1 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c16-waffleplotsa.png 27.0 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c04-heatmap1.png 26.9 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/05. Implementing Gradient Descent.html 26.7 KB
- assets/css/fonts/KaTeX_Main-Italic.woff 26.6 KB
- Part 06-Module 01-Lesson 01_Calculus/10. Chapter 8 Calculus-gKZvmxtM79Q.en.vtt 26.3 KB
- assets/css/fonts/KaTeX_Main-BoldItalic.woff 25.6 KB
- Part 06-Module 01-Lesson 01_Calculus/09. Chapter 7 Claculus-5aL7Fn-9NnQ.en.vtt 25.3 KB
- Part 06-Module 02-Lesson 01_Calculus in Neural Networks/03. Chapterr 2 Neural Networks-f8PYXDsSBpM.en.vtt 24.6 KB
- Part 06-Module 01-Lesson 01_Calculus/04. Chapter 2 Calculus-mzEit_Oe13E.en.vtt 24.5 KB
- Part 06-Module 02-Lesson 01_Calculus in Neural Networks/02. Chapterr 1 Neural Networks-hYB4ku0kmW8.en.vtt 24.5 KB
- assets/css/fonts/KaTeX_Script-Regular.ttf 24.3 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c06-violinplot3.png 24.1 KB
- assets/css/plyr.css 23.6 KB
- Part 06-Module 01-Lesson 01_Calculus/03. Chapter 1 Calculusss-ss3NSODhFJI.en.vtt 23.4 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/12. Classifying Images.html 23.3 KB
- assets/css/fonts/KaTeX_Math-Italic.woff 23.3 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/10. Practice — Draw a square.html 23.1 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/04. Resetting Commits.html 23.1 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.en.vtt 22.9 KB
- assets/css/fonts/KaTeX_Fraktur-Bold.woff 22.8 KB
- assets/css/fonts/KaTeX_Math-BoldItalic.woff 22.6 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c07-boxplot1.png 22.5 KB
- assets/css/fonts/KaTeX_Main-Italic.woff2 22.5 KB
- assets/css/fonts/KaTeX_Fraktur-Regular.woff 22.3 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.pt-BR.vtt 22.1 KB
- assets/css/fonts/KaTeX_Main-BoldItalic.woff2 21.7 KB
- assets/css/katex.min.css 21.6 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c19-stackedbars1.png 21.5 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/07. Changing shapes.html 21.5 KB
- Part 04-Module 01-Lesson 04_Pandas/08. Creating Pandas DataFrames.html 21.5 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/03. Git Commit.html 21.4 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/08. Implementing Backpropagation.html 21.4 KB
- Part 06-Module 01-Lesson 01_Calculus/05. Chapter 3 Calculus-mzllBDdtjIg.en.vtt 21.3 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/04. Determining What To Work On.html 21.3 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/06. Multilayer Perceptrons.html 21.0 KB
- Part 03-Module 01-Lesson 05_Scripting/img/step3-path.png 20.8 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/02. Git Add.html 20.7 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/23. Practice — Turtle methods.html 20.4 KB
- assets/css/fonts/KaTeX_Typewriter-Regular.woff 20.4 KB
- Part 06-Module 01-Lesson 01_Calculus/08. Chapter 6 Calculus-2cNiF9ebdL0.en.vtt 20.4 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/03. Reviewing Existing Work.html 20.2 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/09. Perceptrons as Logical Operators.html 20.1 KB
- assets/css/fonts/KaTeX_Fraktur-Bold.woff2 20.0 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/06. Merge Conflicts.html 20.0 KB
- assets/css/fonts/KaTeX_Math-Italic.woff2 20.0 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/15. Practice — Using variables (22).html 19.9 KB
- Part 06-Module 01-Lesson 01_Calculus/06. Chapter 4 Claculus--Ti33VDPA7s.en.vtt 19.8 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/03. Stay in sync with source project.html 19.7 KB
- assets/css/fonts/KaTeX_Math-BoldItalic.woff2 19.6 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/17. Figures, Axes, and Subplots.html 19.4 KB
- assets/css/fonts/KaTeX_Fraktur-Regular.woff2 19.4 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/07. Backpropagation.html 19.4 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c03-overplotting3.png 19.3 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/14. Quiz Strings.html 19.2 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/03. Branching.html 19.1 KB
- assets/css/fonts/KaTeX_Caligraphic-Bold.ttf 19.1 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c07-piecharts2.png 19.0 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/14. Practice — Using variables (12).html 18.9 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c07-boxplot3.png 18.8 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/10. Creating Pet Image Labels.html 18.8 KB
- Part 05-Module 01-Lesson 01_Introduction/img/screen-shot-2018-02-21-at-6.41.35-pm.png 18.8 KB
- assets/css/fonts/KaTeX_SansSerif-Bold.woff 18.7 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c06-violinplot1.png 18.6 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/02. Displaying A Repository's Commits.html 18.6 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.zh-CN.vtt 18.6 KB
- Part 03-Module 01-Lesson 03_Control Flow/02. Conditional Statements.html 18.6 KB
- assets/css/fonts/KaTeX_Caligraphic-Regular.ttf 18.5 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c13-lineplot3.png 18.5 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c06-violinplot2.png 18.4 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/31. Quiz Dictionaries and Identity Operators.html 18.3 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/02. Tagging.html 18.3 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/20. Practice — Loop variables.html 18.2 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c02-scatterplot3.png 18.2 KB
- Part 04-Module 01-Lesson 03_NumPy/04. Creating and Saving NumPy ndarrays.html 18.0 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/17. Quiz Type and Type Conversion.html 17.9 KB
- Part 03-Module 01-Lesson 05_Scripting/img/step4-alias.png 17.9 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/24. Extra Waffle Plots.html 17.8 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.en.vtt 17.7 KB
- assets/css/fonts/KaTeX_SansSerif-Italic.woff 17.7 KB
- Part 06-Module 02-Lesson 01_Calculus in Neural Networks/04. Chapterr 3 Neural Networks-Wr5qCQ48t8E.en.vtt 17.7 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.pt-BR.vtt 17.6 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/18. Printing Results.html 17.4 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.en.vtt 17.4 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/17. Practice — Basic loops.html 17.4 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/16. Postscript Multivariate Visualization.html 17.3 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/16. Calculating Results.html 17.3 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l5-c05-faceting2.png 17.3 KB
- Part 06-Module 01-Lesson 01_Calculus/07. Chapter 5 Calculus-QsEJGPVxsB8.en.vtt 17.3 KB
- Part 04-Module 01-Lesson 03_NumPy/11. Arithmetic operations and Broadcasting.html 17.3 KB
- assets/css/fonts/KaTeX_Typewriter-Regular.woff2 17.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/13. Line Plots.html 17.0 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/05. Merging.html 17.0 KB
- Part 04-Module 01-Lesson 03_NumPy/07. Accessing, Deleting, and Inserting Elements Into ndarrays.html 16.9 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c02-scatterplot2.png 16.9 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/15. Histograms.html 16.9 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/14. Classifying Labels as Dogs.html 16.9 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/06. Changing colors.html 16.8 KB
- Part 03-Module 01-Lesson 03_Control Flow/08. Quiz Boolean Expressions for Conditions.html 16.7 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/22. Quiz Lists and Membership Operators.html 16.7 KB
- Part 03-Module 01-Lesson 03_Control Flow/28. Quiz Zip and Enumerate.html 16.7 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.pt-BR.vtt 16.7 KB
- Part 03-Module 01-Lesson 05_Scripting/18. Quiz Reading and Writing Files.html 16.6 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/05. Viewing File Changes.html 16.6 KB
- Part 03-Module 01-Lesson 05_Scripting/21. Quiz The Standard Library.html 16.5 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/03. Introduction to GPU Workspaces.html 16.4 KB
- assets/css/fonts/KaTeX_SansSerif-Regular.woff 16.4 KB
- Part 03-Module 01-Lesson 05_Scripting/img/step2-pwd.png 16.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/24. Gradient Descent.html 16.4 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/35. Quiz Compound Data Structures.html 16.3 KB
- Part 04-Module 01-Lesson 03_NumPy/08. Slicing ndarrays.html 16.2 KB
- Part 11-Module 01-Lesson 02_Create A Git Repo/03. Clone An Existing Repo.html 16.2 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/19. Extra Stacked Plots.html 16.2 KB
- Part 06-Module 01-Lesson 01_Calculus/11. Chapterr 9 Calculus-OF3awXGM4k0.en.vtt 16.2 KB
- Part 03-Module 01-Lesson 04_Functions/02. Defining Functions.html 16.2 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/20. Scales and Transformations.html 16.2 KB
- Part 03-Module 01-Lesson 03_Control Flow/13. Quiz For Loops.html 16.2 KB
- Part 11-Module 01-Lesson 02_Create A Git Repo/04. Determine A Repo's Status.html 16.0 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/25. Practice — More loop variables (22).html 16.0 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/02. Forking A Repository.html 16.0 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/07. Command Line Arguments.html 16.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/11. Perceptron Algorithm.html 15.8 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c16-waffleplots3.png 15.8 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/16. Looping.html 15.8 KB
- Part 03-Module 01-Lesson 03_Control Flow/05. Quiz Conditional Statements.html 15.7 KB
- assets/css/fonts/KaTeX_SansSerif-Bold.woff2 15.6 KB
- Part 03-Module 01-Lesson 03_Control Flow/17. Quiz Iterating Through Dictionaries.html 15.6 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/06. Quiz Variables and Assignment Operators.html 15.5 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/21. Lists and Membership Operators.html 15.4 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. Squash Commits.html 15.3 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/05. Timing Code.html 15.3 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/10. Bar Charts.html 15.3 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/08. Finding errors.html 15.3 KB
- Part 03-Module 01-Lesson 05_Scripting/img/step5-source.png 15.2 KB
- Part 03-Module 01-Lesson 03_Control Flow/07. Boolean Expressions for Conditions.html 15.1 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c09b-subplotsa.png 15.0 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/05. Practice — Variables and more.html 14.9 KB
- assets/css/fonts/KaTeX_SansSerif-Italic.woff2 14.9 KB
- Part 11-Module 01-Lesson 02_Create A Git Repo/02. Create A Repo From Scratch.html 14.8 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/33. Quiz More With Dictionaries.html 14.8 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/07. Quiz Data Types (Quantitative vs. Categorical).html 14.7 KB
- Part 03-Module 01-Lesson 05_Scripting/img/step1-cd.png 14.7 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/20. Extra Ridgeline Plots.html 14.7 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.zh-CN.vtt 14.6 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/03. Quiz Arithmetic Operators.html 14.6 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/38. Summary.html 14.5 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/11. Comments.html 14.5 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c13-lineplot2.png 14.5 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/05. Variables and Assignment Operators.html 14.5 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/05. Pulling Changes From A Remote.html 14.4 KB
- Part 03-Module 01-Lesson 05_Scripting/04. [For Windows] Configuring Git Bash to Run Python.html 14.4 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/04. Push Changes To A Remote.html 14.3 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c03-barchart6.png 14.3 KB
- Part 13-Module 01-Lesson 02_Linear Regression/img/intro-to-ml.png 14.3 KB
- Part 13-Module 01-Lesson 08_Outro/img/intro-to-ml.png 14.3 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c19-stackedbars2.png 14.2 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/12. Adaptation of Univariate Plots.html 14.2 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c08-histograms4.png 14.2 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/29. Review.html 14.2 KB
- Part 03-Module 01-Lesson 03_Control Flow/22. Quiz While Loops.html 14.1 KB
- Part 03-Module 01-Lesson 03_Control Flow/10. For Loops.html 14.1 KB
- Part 03-Module 01-Lesson 03_Control Flow/24. Break, Continue.html 14.1 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/25. Quiz List Methods.html 14.1 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/02. Starting out.html 14.0 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/08. Text + Quiz Data Types (Ordinal vs. Nominal).html 13.9 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/20. Classify Uploaded Images.html 13.9 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.zh-CN.vtt 13.9 KB
- Part 06-Module 02-Lesson 01_Calculus in Neural Networks/05. Chapterr 4 Neural Networks-_d52fwoXXd4.en.vtt 13.9 KB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Git and Version Control Terminology.html 13.9 KB
- Part 03-Module 01-Lesson 05_Scripting/27. Online Resources.html 13.8 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/09. Clustered Bar Charts.html 13.7 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/27. Thinking about errors.html 13.7 KB
- Part 04-Module 01-Lesson 04_Pandas/05. Accessing and Deleting Elements in Pandas Series.html 13.7 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/04. Heat Maps.html 13.7 KB
- assets/css/fonts/KaTeX_SansSerif-Regular.woff2 13.7 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/27. Quiz Tuples.html 13.6 KB
- assets/css/fonts/KaTeX_Script-Regular.woff 13.5 KB
- Part 04-Module 01-Lesson 04_Pandas/06. Arithmetic Operations on Pandas Series.html 13.5 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.pt-BR.vtt 13.5 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/19. Lists and loops.html 13.5 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/03. Project Instructions.html 13.5 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/02. Project Description.html 13.5 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c03-barchart5.png 13.5 KB
- Part 05-Module 01-Lesson 03_Linear Combination/06. Solving a Simplified Set of Equations.html 13.4 KB
- Part 04-Module 01-Lesson 03_NumPy/05. NumPy 2 V1-KR3hHf9Zxxg.pt-BR.vtt 13.3 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/04. Viewing Modified Files.html 13.3 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/14. Pie Charts.html 13.3 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l5-c03-color1.png 13.2 KB
- Part 04-Module 01-Lesson 03_NumPy/09. Boolean Indexing, Set Operations, and Sorting.html 13.2 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/06. Having Git Ignore Files.html 13.2 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/03. Changing How Git Log Displays Information.html 13.1 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/09. Modules and methods.html 13.1 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/backprop-network.png 13.1 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/03. Drawing with turtles.html 13.1 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Neural Network Architecture.html 13.0 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/19. String Methods.html 13.0 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/12. Practice — Order matters.html 13.0 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/09. Quiz Integers and Floats.html 12.9 KB
- Part 03-Module 01-Lesson 03_Control Flow/15. Quiz Match Inputs To Outputs.html 12.9 KB
- assets/css/fonts/KaTeX_Size1-Regular.ttf 12.9 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/24. List Methods.html 12.9 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/Project Rubric - Use a Pre-trained Image Classifier to Identify Dog Breeds.html 12.8 KB
- Part 03-Module 01-Lesson 05_Scripting/25. Third-Party Libraries.html 12.8 KB
- Part 03-Module 01-Lesson 03_Control Flow/11. Practice For Loops.html 12.8 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.en.vtt 12.8 KB
- Part 03-Module 01-Lesson 05_Scripting/17. Reading and Writing Files.html 12.7 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/11. Absolute vs. Relative Frequency.html 12.7 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. Softmax.html 12.7 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/02. Gradient Descent.html 12.6 KB
- Part 03-Module 01-Lesson 03_Control Flow/16. Iterating Through Dictionaries with For Loops.html 12.6 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/11. Quiz Booleans, Comparison Operators, and Logical Operators.html 12.6 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/20. String Methods.html 12.5 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/Project Rubric - Create Your Own Image Classifier.html 12.5 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. Backpropagation.html 12.5 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/08. Integers and Floats.html 12.5 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/07. Box Plots.html 12.3 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/02. What are Jupyter notebooks.html 12.3 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l5-c03-color8.png 12.3 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c11-faceting3.png 12.2 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/12. Linear Transformation Quiz Answers.html 12.2 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. Perceptron Trick.html 12.2 KB
- assets/css/fonts/KaTeX_Size2-Regular.ttf 12.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/11. Faceting.html 12.1 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/28. Rainbow turtles.html 12.1 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/06. Levels of Measurement Types of Data.html 12.1 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/13. Strings.html 12.0 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/21. Mystery shape.html 12.0 KB
- assets/css/fonts/KaTeX_Script-Regular.woff2 12.0 KB
- Part 03-Module 01-Lesson 05_Scripting/12. Errors and Exceptions.html 11.9 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/29. Quiz Sets.html 11.9 KB
- assets/css/fonts/KaTeX_Caligraphic-Bold.woff 11.9 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c09-clusteredbar5.png 11.8 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/18. Choosing a Plot for Discrete Data.html 11.8 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/02. Remote Repositories.html 11.8 KB
- Part 04-Module 01-Lesson 03_NumPy/05. NumPy 2 V1-KR3hHf9Zxxg.en.vtt 11.7 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c09-clusteredbar3.png 11.7 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/img/penta.png 11.6 KB
- assets/css/fonts/KaTeX_Caligraphic-Regular.woff 11.6 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/30. Dictionaries and Identity Operators.html 11.6 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/23. Extra Kernel Density Estimation.html 11.6 KB
- Part 03-Module 01-Lesson 03_Control Flow/03. Practice Conditional Statements.html 11.4 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/26. Practice — Nested loops.html 11.4 KB
- Part 03-Module 01-Lesson 03_Control Flow/31. Quiz List Comprehensions.html 11.3 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c07-piecharts3.png 11.3 KB
- Part 03-Module 01-Lesson 05_Scripting/20. Importing Local Scripts.html 11.3 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/10. Booleans, Comparison Operators, and Logical Operators.html 11.3 KB
- Part 03-Module 01-Lesson 03_Control Flow/25. Quiz Break, Continue.html 11.3 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/04. Commit Messages.html 11.3 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/22. Loops within loops.html 11.2 KB
- Part 03-Module 01-Lesson 05_Scripting/13. Handling Errors.html 11.2 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c07-boxplot2.png 11.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c04-heatmap3.png 11.1 KB
- Part 03-Module 01-Lesson 03_Control Flow/09. Solution Boolean Expressions for Conditions.html 11.1 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/06. Viewing A Specific Commit.html 11.1 KB
- Part 03-Module 01-Lesson 03_Control Flow/20. Practice While Loops.html 11.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/03. Overplotting, Transparency, and Jitter.html 11.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/02. Scatterplots and Correlation.html 11.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c17-rugplot1.png 11.0 KB
- Part 11-Module 01-Lesson 01_What is Version Control/04. MacLinux Setup.html 11.0 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/06. Violin Plots.html 11.0 KB
- assets/css/fonts/KaTeX_Size4-Regular.ttf 11.0 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/18. Practice — Assigning lists to variables.html 11.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/21. Cross-Entropy 2.html 11.0 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/07. Solution Variables and Assignment Operators.html 10.9 KB
- Part 03-Module 01-Lesson 05_Scripting/02. Python Installation.html 10.9 KB
- Part 03-Module 01-Lesson 05_Scripting/23. Techniques for Importing Modules.html 10.9 KB
- Part 03-Module 01-Lesson 03_Control Flow/29. Solution Zip and Enumerate.html 10.9 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.pt-BR.vtt 10.9 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/03. Gradient Descent-Math-7sxA5Ap8AWM.pt-BR.vtt 10.8 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/03. Gradient Descent-Math-7sxA5Ap8AWM.en.vtt 10.8 KB
- Part 04-Module 01-Lesson 03_NumPy/05. NumPy 2 V1-KR3hHf9Zxxg.zh-CN.vtt 10.8 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/18. Maximum Likelihood.html 10.8 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/04. Gradient Descent The Code.html 10.8 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/04. Launching the notebook server.html 10.7 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.zh-CN.vtt 10.7 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.en.vtt 10.7 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous.html 10.7 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/05. Tidy Data.html 10.6 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/19. Descriptive Statistics, Outliers and Axis Limits.html 10.6 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c12-transforms1.png 10.6 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/34. Compound Data Structures.html 10.6 KB
- Part 04-Module 01-Lesson 01_Anaconda/03. What is Anaconda.html 10.6 KB
- Part 03-Module 01-Lesson 03_Control Flow/27. Zip and Enumerate.html 10.6 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/26. Tuples.html 10.5 KB
- Part 03-Module 01-Lesson 05_Scripting/26. Experimenting with an Interpreter.html 10.5 KB
- Part 03-Module 01-Lesson 05_Scripting/24. Quiz Techniques for Importing Modules.html 10.5 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.en.vtt 10.5 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/28. Sets.html 10.4 KB
- Part 03-Module 01-Lesson 03_Control Flow/30. List Comprehensions.html 10.4 KB
- Part 03-Module 01-Lesson 03_Control Flow/19. While Loops.html 10.4 KB
- assets/css/fonts/KaTeX_Caligraphic-Bold.woff2 10.3 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/23. Solution List and Membership Operators.html 10.3 KB
- Part 04-Module 01-Lesson 04_Pandas/11. Manipulate a DataFrame.html 10.3 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/06. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.en.vtt 10.3 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/05. Multiplication of a Square Matrices.html 10.2 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/19. Maximizing Probabilities.html 10.2 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c12-adaptations2.png 10.2 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/16. Type and Type Conversion.html 10.2 KB
- Part 11-Module 01-Lesson 01_What is Version Control/02. Version Control In Daily Use.html 10.2 KB
- Part 04-Module 01-Lesson 04_Pandas/04. Creating Pandas Series.html 10.2 KB
- assets/css/fonts/KaTeX_Caligraphic-Regular.woff2 10.2 KB
- Part 03-Module 01-Lesson 03_Control Flow/14. Solution For Loops Quiz.html 10.2 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/24. Practice — More loop variables (12).html 10.2 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/26. Pre-Lab Gradient Descent.html 10.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c09-clusteredbar1.png 10.1 KB
- Part 11-Module 01-Lesson 01_What is Version Control/05. Windows Setup.html 10.1 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/07. Matrix Multiplication - General.html 10.1 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/23. Logistic Regression.html 10.1 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/02. Arithmetic Operators.html 10.1 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/02. Create a Pull Request.html 10.1 KB
- Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/02. Procedural vs. Object-Oriented Programming.html 10.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/14. Log-loss Error Function.html 10.0 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/09. Rubric.html 10.0 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c05-missingdata1.png 10.0 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c03-overplotting2.png 10.0 KB
- Part 01-Module 04-Lesson 01_Neural Networks/07. Neural Network Architecture.html 10.0 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/22. Final Results.html 10.0 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c09-clusteredbar2.png 10.0 KB
- Part 06-Module 01-Lesson 01_Calculus/13. Multivariable Chain Rule Example-wXDy3P6F_P8.en.vtt 9.9 KB
- Part 05-Module 01-Lesson 01_Introduction/05. Working with Equations.html 9.9 KB
- Part 03-Module 01-Lesson 05_Scripting/14. Practice Handling Input Errors.html 9.9 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/09. Magic keywords.html 9.9 KB
- Part 03-Module 01-Lesson 05_Scripting/09. Quiz Scripting with Raw Input.html 9.9 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing In Action-cL6ehKtJLUM.ar.vtt 9.9 KB
- Part 03-Module 01-Lesson 03_Control Flow/04. Solution Conditional Statements.html 9.9 KB
- Part 03-Module 01-Lesson 03_Control Flow/23. Solution While Loops Quiz.html 9.8 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/18. Extra Rug and Strip Plots.html 9.8 KB
- Part 03-Module 01-Lesson 05_Scripting/03. Install Python Using Anaconda.html 9.8 KB
- Part 03-Module 01-Lesson 03_Control Flow/10. For Loops-UtX0PXSUCdY.ar.vtt 9.7 KB
- Part 03-Module 01-Lesson 05_Scripting/06. Programming Environment Setup.html 9.7 KB
- Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/03. Class, Object, Method and Attribute.html 9.7 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/img/mystery-shape.png 9.7 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/33. Feedforward.html 9.7 KB
- Part 01-Module 01-Lesson 01_Welcome to the Program/04. Udacity Support.html 9.7 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/09. Mutable Data Types and Functions.html 9.7 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/06. Higher Dimensions.html 9.6 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/03. Classification Problems 1.html 9.6 KB
- Part 03-Module 01-Lesson 04_Functions/05. Variable Scope.html 9.6 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/22. Multi-Class Cross Entropy.html 9.6 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c13-lineplot4.png 9.6 KB
- Part 05-Module 01-Lesson 03_Linear Combination/03. Linear Combination and Span.html 9.6 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/06. The Feedforward Process- Finding h.html 9.5 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/01. Introduction.html 9.5 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/07. Perceptrons.html 9.5 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/07. Markdown cells.html 9.5 KB
- Part 03-Module 01-Lesson 04_Functions/15. [Optional] Quiz Iterators and Generators.html 9.5 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/02. Why Learn Data Visualization.html 9.5 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/15. Solution Strings.html 9.5 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/03. Gradient Descent-Math-7sxA5Ap8AWM.zh-CN.vtt 9.5 KB
- Part 03-Module 01-Lesson 04_Functions/03. Quiz Defining Functions.html 9.5 KB
- Part 03-Module 01-Lesson 04_Functions/12. Quiz Lambda Expressions.html 9.4 KB
- Part 01-Module 04-Lesson 01_Neural Networks/06. Error Functions-jfKShxGAbok.en.vtt 9.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/14. Error Functions-jfKShxGAbok.en.vtt 9.4 KB
- Part 05-Module 01-Lesson 02_Vectors/04. Vectors- Mathematical definition .html 9.4 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/07. Parameters and options (ls -l).html 9.4 KB
- Part 03-Module 01-Lesson 03_Control Flow/32. Solution List Comprehensions.html 9.4 KB
- Part 03-Module 01-Lesson 03_Control Flow/06. Solution Conditional Statements.html 9.4 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/05. Notebook interface.html 9.4 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c04-relfreqchart2.png 9.4 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c09-clusteredbar4.png 9.4 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.pt-BR.vtt 9.4 KB
- Part 03-Module 01-Lesson 05_Scripting/05. Running a Python Script.html 9.4 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c09b-subplots4.png 9.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/35. Pre-Lab Analyzing Student Data.html 9.3 KB
- Part 05-Module 01-Lesson 03_Linear Combination/img/screen-shot-2018-03-28-at-4.52.09-pm.png 9.3 KB
- Part 03-Module 01-Lesson 05_Scripting/08. Scripting with Raw Input.html 9.3 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/04. Workspace How-to.html 9.2 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/32. Solution Dictionaries and Identity Operators.html 9.2 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/08. Matrix Multiplication Quiz.html 9.2 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/04. Solution Arithmetic Operators.html 9.2 KB
- Part 03-Module 01-Lesson 03_Control Flow/18. Solution Iterating Through Dictionaries.html 9.2 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/12. Solution Booleans, Comparison and Logical Operators.html 9.2 KB
- Part 01-Module 04-Lesson 01_Neural Networks/06. Error Functions-jfKShxGAbok.pt-BR.vtt 9.1 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/12. Counting Missing Data.html 9.1 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/14. Error Functions-jfKShxGAbok.pt-BR.vtt 9.1 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/36. Solution Compound Data Structions.html 9.1 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/05. Linear Boundaries.html 9.1 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/08. Organizing your files (mkdir, mv).html 9.1 KB
- Part 03-Module 01-Lesson 04_Functions/14. [Optional] Iterators and Generators.html 9.1 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/04. Scalar Multiplication of Matrix and Quiz.html 9.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/17. Extra Swarm Plots.html 9.0 KB
- Part 03-Module 01-Lesson 03_Control Flow/21. Solution While Loops Practice.html 9.0 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/37. Conclusion.html 9.0 KB
- Part 05-Module 01-Lesson 02_Vectors/12. Vectors Quiz 3.html 9.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/codecogseqn-60-2.png 8.9 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/09. AIPND Python Lab - Mutable Data Types and Functions Video-LIOmuZdLymw.pt-BR.vtt 8.9 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/02. Windows Installing Git Bash.html 8.9 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/18. Solution Type and Type Conversion.html 8.9 KB
- Part 05-Module 01-Lesson 02_Vectors/06. Magnitude and Direction .html 8.9 KB
- Part 03-Module 01-Lesson 03_Control Flow/01. Introduction.html 8.9 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/03. Visualization in Python.html 8.9 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/09. Data Types (Continuous vs. Discrete).html 8.9 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/06. Square Matrix Multiplication Quiz.html 8.9 KB
- Part 04-Module 01-Lesson 01_Anaconda/06. Managing environments.html 8.8 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/36. Notebook Analyzing Student Data.html 8.8 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/27. Notebook Gradient Descent.html 8.8 KB
- Part 03-Module 01-Lesson 03_Control Flow/12. Solution For Loops Practice.html 8.8 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/07. Regularization-ndYnUrx8xvs.pt-BR.vtt 8.8 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/28. Perceptron vs Gradient Descent.html 8.8 KB
- Part 03-Module 01-Lesson 04_Functions/08. Documentation.html 8.7 KB
- Part 03-Module 01-Lesson 05_Scripting/19. Solution Reading and Writing Files.html 8.7 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/02. Matrix Addition.html 8.7 KB
- Part 03-Module 01-Lesson 03_Control Flow/26. Solution Break, Continue.html 8.7 KB
- Part 03-Module 01-Lesson 05_Scripting/20. Importing Files-qjeSn6zZbR0.ar.vtt 8.7 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/06. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.zh-CN.vtt 8.7 KB
- Part 04-Module 01-Lesson 03_NumPy/02. Introduction to NumPy.html 8.7 KB
- Part 11-Module 01-Lesson 01_What is Version Control/01. What is Version Control.html 8.7 KB
- Part 01-Module 02-Lesson 01_Programming with Python/05. Integers and Floats.html 8.6 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/20. Cross-Entropy 1.html 8.6 KB
- Part 03-Module 01-Lesson 05_Scripting/11. Errors and Exceptions.html 8.6 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.zh-CN.vtt 8.6 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.zh-CN.vtt 8.6 KB
- Part 05-Module 02-Lesson 03_Linear Mapping Lab/04. Linear Mapping Lab Solution.html 8.6 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/01. Instructor.html 8.5 KB
- Part 04-Module 01-Lesson 01_Anaconda/05. Managing packages.html 8.5 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/06. Pull vs Fetch.html 8.5 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c04-relfreqchart1.png 8.5 KB
- Part 04-Module 01-Lesson 04_Pandas/02. Introduction to Pandas.html 8.5 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/25. Logistic Regression Algorithm.html 8.5 KB
- Part 03-Module 01-Lesson 05_Scripting/07. Editing a Python Script.html 8.5 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/04. Classification Problems 2.html 8.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/29. Continuous Perceptrons.html 8.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/08. Why Neural Networks.html 8.4 KB
- Part 03-Module 01-Lesson 05_Scripting/16. Accessing Error Messages.html 8.4 KB
- Part 04-Module 01-Lesson 03_NumPy/08. NumPy 4 V1-jeU7lLgyMms.pt-BR.vtt 8.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/12. Non-Linear Regions.html 8.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/31. Non-Linear Models.html 8.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/17. One-Hot Encoding.html 8.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions.html 8.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-linear Data.html 8.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/37. Outro.html 8.4 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/01. What is a Matrix.html 8.4 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/04. Manage an active PR.html 8.4 KB
- Part 03-Module 01-Lesson 03_Control Flow/33. Conclusion.html 8.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/02. Introduction.html 8.4 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/03. Reverting A Commit.html 8.4 KB
- Part 01-Module 04-Lesson 01_Neural Networks/06. Error Functions-jfKShxGAbok.zh-CN.vtt 8.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/14. Error Functions-jfKShxGAbok.zh-CN.vtt 8.4 KB
- Part 03-Module 01-Lesson 05_Scripting/01. Introduction.html 8.3 KB
- Part 13-Module 01-Lesson 04_Decision Trees/01. Recommending Apps 1.html 8.3 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/07. Image Classifier - Part 2 - Command Line App.html 8.3 KB
- Part 03-Module 01-Lesson 04_Functions/11. Lambda Expressions.html 8.3 KB
- Part 13-Module 01-Lesson 05_Naive Bayes/03. Bayesian Learning 1.html 8.3 KB
- Part 04-Module 01-Lesson 03_NumPy/03. Why Use NumPy.html 8.3 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/03. What is a Neural Network.html 8.3 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/12. Searching and pipes (grep, wc).html 8.2 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/09. AIPND Python Lab - Mutable Data Types and Functions Video-LIOmuZdLymw.en.vtt 8.2 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/09. Downloading (curl).html 8.2 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/06. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.pt-BR.vtt 8.2 KB
- Part 04-Module 01-Lesson 04_Pandas/07. Manipulate a Series.html 8.2 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c12-adaptations1.png 8.2 KB
- Part 05-Module 01-Lesson 03_Linear Combination/04. Linear Combination -Quiz 1.html 8.2 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/11. Removing things (rm, rmdir).html 8.2 KB
- Part 04-Module 01-Lesson 04_Pandas/08. Pandas 4 V1-eMHUn9v9dds.pt-BR.vtt 8.2 KB
- assets/css/fonts/KaTeX_Size3-Regular.ttf 8.2 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.pt-BR.vtt 8.1 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/21. Project Workspace - Classify Uploaded Images.html 8.1 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/01. Welcome!.html 8.1 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/08. Project Workspace - Command Line Arguments.html 8.1 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/17. Project Workspace - Calculating Results.html 8.1 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/13. Project Workspace - Classifying Images.html 8.1 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/15. Project Workspace - Adjusting Results.html 8.1 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/11. Project Workspace - Pet Image Labels.html 8.1 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/19. Project Workspace - Printing Results.html 8.1 KB
- Part 03-Module 01-Lesson 05_Scripting/10. Solution Scripting with Raw Input.html 8.1 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/23. Project Workspace - Final Results.html 8.1 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/Project Description - Use a Pre-trained Image Classifier to Identify Dog Breeds.html 8.1 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/06. Project Workspace - Timing.html 8.1 KB
- Part 04-Module 01-Lesson 03_NumPy/04. NumPy 1 V1-EOHW29kDg7w.pt-BR.vtt 8.1 KB
- Part 05-Module 01-Lesson 01_Introduction/07. Try our workspace again!.html 8.1 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/07. Regularization-ndYnUrx8xvs.en.vtt 8.1 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/21. CrossEntropy V1-1BnhC6e0TFw.en.vtt 8.0 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c02-scatterplot1.png 8.0 KB
- Part 05-Module 01-Lesson 03_Linear Combination/08. Linear Combination - Quiz 3.html 8.0 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/04. Your first command (echo).html 8.0 KB
- Part 04-Module 01-Lesson 03_NumPy/08. NumPy 4 V1-jeU7lLgyMms.en.vtt 8.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/codecogseqn-43.gif 8.0 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/05. Git Diff.html 8.0 KB
- Part 03-Module 01-Lesson 05_Scripting/22. Solution The Standard Library.html 8.0 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/13. Shell and environment variables.html 8.0 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.pt-BR.vtt 7.9 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/03. Matrix Addition Quiz.html 7.9 KB
- Part 01-Module 05-Lesson 01_Ready to Level Up with AI/01. Ready to Level Up with AI.html 7.9 KB
- Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/04. Object Oriented Programming Syntax-Y8ZVw1LHI8E.en.vtt 7.9 KB
- Part 03-Module 01-Lesson 05_Scripting/15. Solution Handling Input Errors.html 7.9 KB
- Part 03-Module 01-Lesson 04_Functions/04. Solution Defining Functions.html 7.9 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/11. Creating a slideshow.html 7.9 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/05. Navigating directories (ls, cd, ..).html 7.9 KB
- Part 03-Module 01-Lesson 05_Scripting/28. Conclusion.html 7.9 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/07. The Feedforward Process- Finding y.html 7.8 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/05. Putting The Pieces Together.html 7.8 KB
- Part 05-Module 01-Lesson 02_Vectors/10. Vectors- Quiz 2.html 7.8 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/21. CrossEntropy V1-1BnhC6e0TFw.pt-BR.vtt 7.8 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/01. Instructor.html 7.8 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.en.vtt 7.8 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/21. Scales and Transformations Practice.html 7.7 KB
- Part 03-Module 01-Lesson 04_Functions/16. [Optional] Solution Iterators and Generators.html 7.7 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/13. Using variables.html 7.7 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/13. Bar Chart Practice.html 7.7 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/16. Histogram Practice.html 7.7 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/06. Current working directory (pwd).html 7.7 KB
- Part 05-Module 01-Lesson 03_Linear Combination/07. Linear Combination - Quiz 2.html 7.7 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/04. Variables.html 7.7 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/22. Lesson Summary.html 7.7 KB
- Part 04-Module 01-Lesson 01_Anaconda/04. Installing Anaconda.html 7.6 KB
- Part 05-Module 01-Lesson 02_Vectors/05. Transpose.html 7.6 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c10-dierolls1.png 7.6 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/01. Instructor.html 7.6 KB
- Part 03-Module 01-Lesson 04_Functions/09. Quiz Documentation.html 7.6 KB
- Part 05-Module 01-Lesson 02_Vectors/07. Vectors- Quiz 1.html 7.5 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c11-faceting1.png 7.5 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/img/hexagon-eight-point-star.png 7.5 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.en.vtt 7.5 KB
- Part 04-Module 01-Lesson 04_Pandas/10. Pandas 6 V1-GS1kj04XQcM.pt-BR.vtt 7.5 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/6-point-likert-scale-even-survey.png 7.5 KB
- Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/04. Object Oriented Programming Syntax-Y8ZVw1LHI8E.pt-BR.vtt 7.5 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/07. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.en.vtt 7.5 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/10. Viewing files (cat, less).html 7.4 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c03-overplotting1.png 7.4 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/04. Python Variables-VPnV3RdoB7Q.pt-BR.vtt 7.4 KB
- Part 03-Module 01-Lesson 04_Functions/07. Solution Variable Scope.html 7.4 KB
- Part 04-Module 01-Lesson 03_NumPy/06. Create an ndarray.html 7.4 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/02. Introducing PyTorch.html 7.4 KB
- Part 03-Module 01-Lesson 05_Scripting/20. Importing Files-qjeSn6zZbR0.pt-BR.vtt 7.3 KB
- Part 03-Module 01-Lesson 04_Functions/10. Solution Documentation.html 7.3 KB
- Part 03-Module 01-Lesson 04_Functions/18. Conclusion.html 7.3 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/04. How Are The Neurons Connected.html 7.3 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c11-outliers1.png 7.3 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/17. Keep learning!.html 7.3 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/15. Controlling the shell prompt ($PS1).html 7.3 KB
- Part 03-Module 01-Lesson 03_Control Flow/10. For Loops-UtX0PXSUCdY.pt-BR.vtt 7.3 KB
- Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/04. OOP Syntax.html 7.3 KB
- Part 05-Module 01-Lesson 03_Linear Combination/05. Linear Dependency .html 7.3 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/04. Introduction.html 7.3 KB
- Part 04-Module 01-Lesson 04_Pandas/03. Why Use Pandas.html 7.3 KB
- Part 02-Module 01-Lesson 01_Welcome to AI Programming/03. Community Guidelines.html 7.3 KB
- Part 13-Module 01-Lesson 05_Naive Bayes/02. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.pt-BR.vtt 7.3 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/03. Opening a terminal.html 7.3 KB
- Part 04-Module 01-Lesson 03_NumPy/10. Manipulating ndarrays.html 7.3 KB
- Part 04-Module 01-Lesson 03_NumPy/07. NumPy 3 V1-Rt4aydeo9F8.pt-BR.vtt 7.2 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c19-stackedbars3.png 7.2 KB
- Part 04-Module 01-Lesson 03_NumPy/08. NumPy 4 V1-jeU7lLgyMms.zh-CN.vtt 7.2 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing In Action-cL6ehKtJLUM.en.vtt 7.2 KB
- Part 03-Module 01-Lesson 04_Functions/01. Introduction.html 7.2 KB
- Part 13-Module 01-Lesson 05_Naive Bayes/02. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.en.vtt 7.2 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/06. Regularization.html 7.2 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. Backpropagation V2-1SmY3TZTyUk.en.vtt 7.2 KB
- Part 05-Module 01-Lesson 03_Linear Combination/02. Linear Combinations 2-RsKJNDTb8nw.en.vtt 7.2 KB
- Part 03-Module 01-Lesson 04_Functions/06. Variable Scope.html 7.2 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/13. Strings-ySZDrs-nNqg.ar.vtt 7.2 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt 7.2 KB
- Part 03-Module 01-Lesson 04_Functions/13. Solution Lambda Expressions.html 7.2 KB
- Part 04-Module 01-Lesson 01_Anaconda/07. More environment actions.html 7.1 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/09. AIPND Python Lab - Mutable Data Types and Functions Video-LIOmuZdLymw.zh-CN.vtt 7.1 KB
- Part 04-Module 01-Lesson 03_NumPy/12. Creating ndarrays with Broadcasting.html 7.1 KB
- Part 05-Module 01-Lesson 02_Vectors/13. Vectors Quiz Answers.html 7.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/08. Violin and Box Plot Practice.html 7.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/10. Categorical Plot Practice.html 7.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/14. Additional Plot Practice.html 7.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/05. Scatterplot Practice.html 7.1 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/02. Essence Of Linear Algebra Intro -EHcxDZpeGFg.pt-BR.vtt 7.1 KB
- Part 05-Module 01-Lesson 01_Introduction/03. Essence Of Linear Algebra Intro -EHcxDZpeGFg.pt-BR.vtt 7.1 KB
- Part 05-Module 01-Lesson 02_Vectors/08. Operations in the Field.html 7.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c11-faceting2.png 7.1 KB
- Part 04-Module 01-Lesson 03_NumPy/04. NumPy 1 V1-EOHW29kDg7w.en.vtt 7.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/15. Lesson Summary.html 7.1 KB
- Part 04-Module 01-Lesson 01_Anaconda/09. On Python versions at Udacity.html 7.0 KB
- Part 05-Module 01-Lesson 03_Linear Combination/02. Linear Combinations 2-RsKJNDTb8nw.pt-BR.vtt 7.0 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/10. Converting notebooks.html 7.0 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/02. Essence Of Linear Algebra Intro -EHcxDZpeGFg.en.vtt 7.0 KB
- Part 05-Module 01-Lesson 01_Introduction/03. Essence Of Linear Algebra Intro -EHcxDZpeGFg.en.vtt 7.0 KB
- Part 04-Module 01-Lesson 04_Pandas/09. Pandas 5 V1-lClsJnZn_7w.pt-BR.vtt 7.0 KB
- Part 05-Module 01-Lesson 03_Linear Combination/01. Linear Combinations 1-fmal7UE7dEE.pt-BR.vtt 7.0 KB
- Part 04-Module 01-Lesson 03_NumPy/01. Instructors.html 7.0 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/06. Vectors Lab Solution.html 7.0 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/09. Python Modules And Methods-SlmX9X66vDQ.pt-BR.vtt 7.0 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/04. AIPND Python Lab - Workspace How-to Video-EQTttywUnXQ.pt-BR.vtt 7.0 KB
- Part 01-Module 04-Lesson 01_Neural Networks/06. Log-loss Error Function.html 7.0 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/04. Lab Introduction.html 7.0 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/07. Regularization-ndYnUrx8xvs.zh-CN.vtt 7.0 KB
- Part 06-Module 02-Lesson 01_Calculus in Neural Networks/06. Gradient Computation Example-_K7lzXqyj8I.en.vtt 6.9 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.ar.vtt 6.9 KB
- Part 04-Module 01-Lesson 01_Anaconda/08. Best practices.html 6.9 KB
- Part 04-Module 01-Lesson 03_NumPy/07. NumPy 3 V1-Rt4aydeo9F8.en.vtt 6.9 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/10. DataVis L3 03 V2-srRhFrSPdvs.pt-BR.vtt 6.9 KB
- Part 04-Module 01-Lesson 04_Pandas/08. Pandas 4 V1-eMHUn9v9dds.en.vtt 6.9 KB
- Part 05-Module 01-Lesson 01_Introduction/04. Structure of this lesson.html 6.9 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/14. Startup files (.bash_profile).html 6.9 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/02. L2 - Pushing To A Fork-WRgNpr19t48.ar.vtt 6.9 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/index.html 6.8 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c12-adaptations4.png 6.8 KB
- assets/css/fonts/KaTeX_Size1-Regular.woff 6.8 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing In Action-cL6ehKtJLUM.pt-BR.vtt 6.8 KB
- Part 04-Module 01-Lesson 03_NumPy/14. Mini-Project Mean Normalization and Data Separation.html 6.8 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/02. Modifying The Last Commit.html 6.8 KB
- Part 05-Module 01-Lesson 03_Linear Combination/01. Linear Combinations 1-fmal7UE7dEE.en.vtt 6.8 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/06. Course Wrap Up.html 6.8 KB
- Part 03-Module 01-Lesson 04_Functions/17. [Optional] Generator Expressions.html 6.8 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt 6.8 KB
- Part 05-Module 01-Lesson 01_Introduction/02. Instructors.html 6.8 KB
- Part 05-Module 01-Lesson 02_Vectors/09. Vector Addition.html 6.8 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c03-barchart1.png 6.7 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/09. Loading Data Sets with Torchvision.html 6.7 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/16. Aliases.html 6.7 KB
- Part 03-Module 01-Lesson 03_Control Flow/10. For Loops-UtX0PXSUCdY.en.vtt 6.7 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c03-barchart4.png 6.7 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c03-barchart2.png 6.7 KB
- Part 05-Module 01-Lesson 01_Introduction/06. Try our workspace out!.html 6.7 KB
- Part 03-Module 01-Lesson 04_Functions/19. Further Learning.html 6.7 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c03-barchart3.png 6.7 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l4-c04-heatmap2.png 6.7 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/06. Fashion-MNIST Exercise.html 6.7 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/05. Image Classifier - Part 1 - Development.html 6.7 KB
- Part 02-Module 01-Lesson 02_Get Help from Peers and Mentors/03. Knowledge.html 6.7 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/07. Inference Validation.html 6.7 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/05. Polynomial Kernel 2.html 6.7 KB
- Part 04-Module 01-Lesson 04_Pandas/13. Getting Set Up for the Mini-Project.html 6.7 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/04. Defining Networks.html 6.7 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/05. Training Networks.html 6.7 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/10. Transfer Learning.html 6.7 KB
- Part 04-Module 01-Lesson 04_Pandas/14. Mini-Project Statistics From Stock Data.html 6.7 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c08-histograms3.png 6.7 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/03. PyTorch Tensors.html 6.7 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/21. CrossEntropy V1-1BnhC6e0TFw.zh-CN.vtt 6.7 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/01. Introduction.html 6.7 KB
- Part 03-Module 01-Lesson 04_Functions/02. Defining Functions-IP_tJYhynbc.ar.vtt 6.7 KB
- Part 05-Module 01-Lesson 02_Vectors/11. Scalar by Vector Multiplication.html 6.6 KB
- Part 01-Module 02-Lesson 01_Programming with Python/05. Números inteiros e floats-MiJ1vfWp-Ts.ar.vtt 6.6 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/08. Números inteiros e floats-MiJ1vfWp-Ts.ar.vtt 6.6 KB
- Part 04-Module 01-Lesson 03_NumPy/13. Getting Set Up for the Mini-Project.html 6.6 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/08. Saving and Loading Trained Networks.html 6.6 KB
- Part 05-Module 02-Lesson 01_Vectors Lab/02. Vectors Lab Solution.html 6.6 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/01. Welcome!.html 6.6 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.zh-CN.vtt 6.5 KB
- assets/css/fonts/KaTeX_Size2-Regular.woff 6.5 KB
- Part 01-Module 04-Lesson 01_Neural Networks/02. Classification Problems 1.html 6.5 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/12. Other Activation Functions.html 6.5 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/01. Which line is better.html 6.5 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/09. Linear Transformation and Matrices . Part 1.html 6.5 KB
- Part 04-Module 01-Lesson 04_Pandas/01. Instructors.html 6.5 KB
- Part 04-Module 01-Lesson 04_Pandas/12. Pandas 7 V1-ruTYp-twXO0.pt-BR.vtt 6.5 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt 6.5 KB
- Part 13-Module 01-Lesson 04_Decision Trees/04. Quiz Student Admissions.html 6.5 KB
- Part 03-Module 01-Lesson 05_Scripting/20. Importing Files-qjeSn6zZbR0.en.vtt 6.5 KB
- Part 06-Module 01-Lesson 01_Calculus/13. Multivariable Chain Rule.html 6.5 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 26 Branching Overview-ywcOC6CLG4s.ar.vtt 6.5 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/04. Python Variables-VPnV3RdoB7Q.en.vtt 6.4 KB
- Part 03-Module 01-Lesson 01_Why Python Programming/04. Course Overview.html 6.4 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/10. DataVis L3 03 V2-srRhFrSPdvs.en.vtt 6.4 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/06. Image Classifier - Part 1 - Workspace.html 6.4 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/08. Image Classifier - Part 2 - Workspace.html 6.4 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/07. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.zh-CN.vtt 6.4 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/02. Brief Introduction .html 6.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt 6.4 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/10. Linear Transformation and Matrices. Part 2.html 6.4 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c10-dierolls2.png 6.4 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/01. Intro.html 6.4 KB
- Part 05-Module 01-Lesson 03_Linear Combination/02. Linear Combinations 2-RsKJNDTb8nw.zh-CN.vtt 6.4 KB
- Part 13-Module 01-Lesson 04_Decision Trees/02. Recommending Apps 2.html 6.4 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/04. AIPND Python Lab - Workspace How-to Video-EQTttywUnXQ.en.vtt 6.4 KB
- Part 04-Module 01-Lesson 04_Pandas/10. Pandas 6 V1-GS1kj04XQcM.en.vtt 6.3 KB
- Part 04-Module 01-Lesson 03_NumPy/07. NumPy 3 V1-Rt4aydeo9F8.zh-CN.vtt 6.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/index.html 6.3 KB
- Part 03-Module 01-Lesson 03_Control Flow/index.html 6.3 KB
- Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Part II-1GRv1S6K8gQ.ar.vtt 6.3 KB
- Part 04-Module 01-Lesson 03_NumPy/04. NumPy 1 V1-EOHW29kDg7w.zh-CN.vtt 6.3 KB
- assets/css/fonts/KaTeX_Size4-Regular.woff 6.3 KB
- Part 02-Module 01-Lesson 02_Get Help from Peers and Mentors/04. Student Hub.html 6.3 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/13. Batch vs Stochastic Gradient Descent.html 6.3 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/09. Python Modules And Methods-SlmX9X66vDQ.en.vtt 6.3 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/16. Error Functions Around the World.html 6.3 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing In Action-cL6ehKtJLUM.zh-CN.vtt 6.2 KB
- Part 06-Module 01-Lesson 01_Calculus/12. The Taylor Series (optional).html 6.2 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/04. Overfitting and Underfitting.html 6.2 KB
- Part 01-Module 02-Lesson 01_Programming with Python/04. Arithmetic Operators.html 6.2 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/04. Updating to PyTorch v0.4.html 6.2 KB
- Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/01. Introduction.html 6.2 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/07. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.pt-BR.vtt 6.2 KB
- Part 03-Module 01-Lesson 03_Control Flow/10. For Loops-UtX0PXSUCdY.zh-CN.vtt 6.2 KB
- Part 13-Module 01-Lesson 02_Linear Regression/01. Quiz Housing Prices.html 6.2 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/02. Training Optimization.html 6.2 KB
- Part 03-Module 01-Lesson 05_Scripting/20. Importing Files-qjeSn6zZbR0.zh-CN.vtt 6.2 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/11. Linear Transformation and Matrices. Part 3.html 6.2 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/05. Early Stopping.html 6.2 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/11. Transfer Learning Solution.html 6.2 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/01. Instructor.html 6.2 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/11. Vanishing Gradient.html 6.2 KB
- Part 03-Module 01-Lesson 05_Scripting/06. Programming Environment Setup-EKxDnCK0NAk.ar.vtt 6.2 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt 6.2 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt 6.2 KB
- Part 05-Module 01-Lesson 02_Vectors/02. Vectors, what even are they Part 2.html 6.1 KB
- Part 05-Module 01-Lesson 02_Vectors/03. Vectors, what even are they Part 3.html 6.1 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/14. Learning Rate Decay.html 6.1 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/07. Regularization 2.html 6.1 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/10. Random Restart.html 6.1 KB
- Part 03-Module 01-Lesson 05_Scripting/23. Techniques For Importing Modules-jPGyFgcIvsM.ar.vtt 6.1 KB
- Part 04-Module 01-Lesson 04_Pandas/08. Pandas 4 V1-eMHUn9v9dds.zh-CN.vtt 6.1 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/09. Local Minima.html 6.1 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/02. Essence Of Linear Algebra Intro -EHcxDZpeGFg.zh-CN.vtt 6.1 KB
- Part 05-Module 01-Lesson 01_Introduction/03. Essence Of Linear Algebra Intro -EHcxDZpeGFg.zh-CN.vtt 6.1 KB
- Part 05-Module 01-Lesson 02_Vectors/01. What's a Vector.html 6.1 KB
- Part 04-Module 01-Lesson 01_Anaconda/02. Introduction.html 6.1 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/15. Momentum.html 6.1 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/03. Testing.html 6.1 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/08. Dropout.html 6.1 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/01. Mean Squared Error Function.html 6.1 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/06. Code cells.html 6.1 KB
- Part 13-Module 01-Lesson 05_Naive Bayes/02. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.zh-CN.vtt 6.1 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/Project Description - Create Your Own Image Classifier.html 6.0 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/28. Python Rainbow Turtle Walkthrough-P50aMPx-zYI.en.vtt 6.0 KB
- Part 13-Module 01-Lesson 03_Logistic Regression/01. Classification Problems 1.html 6.0 KB
- Part 04-Module 01-Lesson 04_Pandas/09. Pandas 5 V1-lClsJnZn_7w.en.vtt 6.0 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/02. Project Intro.html 6.0 KB
- Part 03-Module 01-Lesson 04_Functions/02. Defining Functions-IP_tJYhynbc.pt-BR.vtt 5.9 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/index.html 5.9 KB
- Part 06-Module 01-Lesson 01_Calculus/02. Instructor.html 5.9 KB
- Part 03-Module 01-Lesson 05_Scripting/index.html 5.9 KB
- Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/04. AIPND Python Lab - Workspace How-to Video-EQTttywUnXQ.zh-CN.vtt 5.9 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/03. Gradient Descent The Math.html 5.9 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/08. Keyboard shortcuts.html 5.9 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/01. Instructor.html 5.9 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/04. Python Variables-VPnV3RdoB7Q.zh-CN.vtt 5.9 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt 5.9 KB
- Part 03-Module 01-Lesson 03_Control Flow/24. Break and Continue-F6qJAv9ts9Y.ar.vtt 5.9 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/01. Instructor.html 5.9 KB
- Part 05-Module 01-Lesson 03_Linear Combination/01. Linear Combinations 1-fmal7UE7dEE.zh-CN.vtt 5.9 KB
- Part 05-Module 02-Lesson 02_Linear Combination Lab/02. Linear Combination Lab Solution.html 5.9 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/01. Instructor.html 5.9 KB
- Part 05-Module 01-Lesson 02_Vectors/03. Vectors 3-mWV_MpEjz9c.en.vtt 5.8 KB
- Part 03-Module 01-Lesson 01_Why Python Programming/02. Welcome to the Course!.html 5.8 KB
- Part 04-Module 01-Lesson 03_NumPy/11. NumPy 6 V1-wtLRuGK0kW4.pt-BR.vtt 5.8 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/09. Linear Transformations 1-99jYIxBRDww.pt-BR.vtt 5.8 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/03. Installing Jupyter Notebook.html 5.8 KB
- Part 06-Module 01-Lesson 01_Calculus/05. Derivatives Through Geometry.html 5.8 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/img/jupyter-logo.png 5.8 KB
- Part 06-Module 01-Lesson 01_Calculus/07. Derivatives of exponentials.html 5.8 KB
- Part 06-Module 01-Lesson 01_Calculus/08. Implicit Differentiation.html 5.8 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/12. Finishing up.html 5.8 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/09. Further Reading.html 5.8 KB
- Part 06-Module 01-Lesson 01_Calculus/01. Our Goal.html 5.8 KB
- Part 06-Module 01-Lesson 01_Calculus/03. Introduction Video.html 5.8 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/06. Course Outro.html 5.8 KB
- Part 05-Module 01-Lesson 03_Linear Combination/01. Linear Combination. Part 1.html 5.8 KB
- Part 05-Module 01-Lesson 03_Linear Combination/02. Linear Combination. Part 2.html 5.8 KB
- Part 06-Module 01-Lesson 01_Calculus/11. More on Integrals.html 5.7 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/index.html 5.7 KB
- Part 06-Module 01-Lesson 01_Calculus/06. The Chain Rule.html 5.7 KB
- Part 06-Module 01-Lesson 01_Calculus/04. Derivatives.html 5.7 KB
- Part 06-Module 01-Lesson 01_Calculus/10. Integrals.html 5.7 KB
- Part 04-Module 01-Lesson 01_Anaconda/01. Instructor.html 5.7 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs. Continuous-Rm2KxFaPiJg.en.vtt 5.7 KB
- Part 06-Module 01-Lesson 01_Calculus/09. Limits.html 5.7 KB
- assets/css/fonts/KaTeX_Size1-Regular.woff2 5.7 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs. Continuous-Rm2KxFaPiJg.pt-BR.vtt 5.7 KB
- Part 06-Module 02-Lesson 01_Calculus in Neural Networks/01. Introduction.html 5.7 KB
- Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/05. Exercise OOP Syntax Practice - Part 1.html 5.6 KB
- Part 04-Module 01-Lesson 04_Pandas/10. Pandas 6 V1-GS1kj04XQcM.zh-CN.vtt 5.6 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/09. Python Modules And Methods-SlmX9X66vDQ.zh-CN.vtt 5.6 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/inputs-matrix.png 5.6 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.pt-BR.vtt 5.6 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/13. Strings-ySZDrs-nNqg.pt-BR.vtt 5.6 KB
- Part 01-Module 02-Lesson 01_Programming with Python/02. Programming in Python.html 5.6 KB
- Part 01-Module 02-Lesson 01_Programming with Python/03. Course Overview.html 5.6 KB
- Part 04-Module 01-Lesson 03_NumPy/11. NumPy 6 V1-wtLRuGK0kW4.en.vtt 5.6 KB
- Part 03-Module 01-Lesson 01_Why Python Programming/03. Programming in Python.html 5.6 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/28. Python Rainbow Turtle Walkthrough-P50aMPx-zYI.pt-BR.vtt 5.6 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/05. Vectors Lab.html 5.6 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/index.html 5.6 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.pt-BR.vtt 5.6 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/09. Linear Transformations 1-99jYIxBRDww.en.vtt 5.5 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/02. Minimizing Distances.html 5.5 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c12-transforms3.png 5.5 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/04. Polynomial Kernel 1.html 5.5 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/06. Polynomial Kernel 3.html 5.5 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/01. Intro.html 5.5 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/07. Outro.html 5.5 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/05. Model Complexity Graph-NnS0FJyVcDQ.pt-BR.vtt 5.5 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/03. Error Function Intuition.html 5.5 KB
- Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Part II-1GRv1S6K8gQ.pt-BR.vtt 5.5 KB
- Part 02-Module 01-Lesson 02_Get Help from Peers and Mentors/01. What It Takes.html 5.5 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/07. RBF Kernel 1.html 5.5 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/08. RBF Kernel 2.html 5.5 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/09. RBF Kernel 3.html 5.5 KB
- Part 05-Module 02-Lesson 03_Linear Mapping Lab/02. Visualizing Matrix Multiplication.html 5.5 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/10. DataVis L3 03 V2-srRhFrSPdvs.zh-CN.vtt 5.5 KB
- Part 05-Module 02-Lesson 03_Linear Mapping Lab/03. Matrix Multiplication Lab.html 5.5 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c12-transforms4.png 5.5 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/02. L3 - Pull Request In Action-d3AGtKmHxUk.ar.vtt 5.4 KB
- Part 04-Module 01-Lesson 04_Pandas/09. Pandas 5 V1-lClsJnZn_7w.zh-CN.vtt 5.4 KB
- Part 01-Module 02-Lesson 01_Programming with Python/01. Welcome to the Python Course!.html 5.4 KB
- assets/css/fonts/KaTeX_Size2-Regular.woff2 5.4 KB
- Part 05-Module 01-Lesson 02_Vectors/03. Vectors 3-mWV_MpEjz9c.pt-BR.vtt 5.4 KB
- Part 04-Module 01-Lesson 04_Pandas/12. Pandas 7 V1-ruTYp-twXO0.en.vtt 5.4 KB
- Part 01-Module 01-Lesson 01_Welcome to the Program/01. Welcome to Our Free Preview.html 5.4 KB
- Part 02-Module 01-Lesson 03_Get Help with Your Account/01. FAQ.html 5.4 KB
- Part 03-Module 01-Lesson 04_Functions/02. Defining Functions-IP_tJYhynbc.en.vtt 5.4 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/01. Intro.html 5.4 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/01. Shell Intro--EtN5oD8MM0.ar.vtt 5.4 KB
- Part 05-Module 01-Lesson 01_Introduction/01. Our Goal .html 5.4 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/02. L2 - Pushing To A Fork-WRgNpr19t48.en.vtt 5.4 KB
- Part 05-Module 01-Lesson 01_Introduction/03. Essence of Linear Algebra.html 5.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. DL 18 Q Softmax V2-RC_A9Tu99y4.en.vtt 5.4 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/07. Lesson Wrap Up.html 5.4 KB
- Part 01-Module 04-Lesson 01_Neural Networks/03. Classification Problems 2.html 5.4 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/01. Instructor.html 5.4 KB
- Part 13-Module 01-Lesson 04_Decision Trees/05. Solution Student Admissions.html 5.4 KB
- Part 01-Module 04-Lesson 01_Neural Networks/04. Why Neural Networks.html 5.4 KB
- Part 02-Module 01-Lesson 02_Get Help from Peers and Mentors/02. Reviews.html 5.3 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/01. Intro.html 5.3 KB
- Part 01-Module 01-Lesson 01_Welcome to the Program/05. School of AI Team.html 5.3 KB
- Part 13-Module 01-Lesson 05_Naive Bayes/02. Guess the Person Now.html 5.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.zh-CN.vtt 5.3 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/05. Model Complexity Graph-NnS0FJyVcDQ.en.vtt 5.3 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/02. L2 - Pushing To A Fork-WRgNpr19t48.pt-BR.vtt 5.3 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/03. What's a Vector.html 5.3 KB
- Part 01-Module 04-Lesson 01_Neural Networks/05. Error Functions.html 5.3 KB
- Part 01-Module 04-Lesson 01_Neural Networks/07. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt 5.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt 5.3 KB
- Part 01-Module 04-Lesson 01_Neural Networks/07. Combinando modelos-Boy3zHVrWB4.en.vtt 5.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Combinando modelos-Boy3zHVrWB4.en.vtt 5.3 KB
- Part 01-Module 04-Lesson 01_Neural Networks/01. Introduction.html 5.3 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/02. Essence of Linear Algebra.html 5.3 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/01. Intro.html 5.3 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/28. Python Rainbow Turtle Walkthrough-P50aMPx-zYI.zh-CN.vtt 5.3 KB
- Part 11-Module 01-Lesson 02_Create A Git Repo/01. Intro.html 5.3 KB
- Part 02-Module 01-Lesson 01_Welcome to AI Programming/01. Welcome to the AI Programming with Python Nanodegree Program.html 5.2 KB
- Part 11-Module 01-Lesson 01_What is Version Control/06. Onward.html 5.2 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.en.vtt 5.2 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/05. Lesson Outro.html 5.2 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/15. DataVis L3 08 V2-f1we_0dUSXg.pt-BR.vtt 5.2 KB
- Part 05-Module 02-Lesson 02_Linear Combination Lab/01. Linear Combination.html 5.2 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/11. Linear Transformations 3-g_yTyRwMzXU.pt-BR.vtt 5.2 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/01. Intro.html 5.2 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/13. Strings-ySZDrs-nNqg.en.vtt 5.2 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/01. Introduction.html 5.2 KB
- Part 13-Module 01-Lesson 02_Linear Regression/04. Want to keep learning.html 5.2 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/10. Linear Transformations 2-imtEd8M6__s.pt-BR.vtt 5.2 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/23. Error Function-V5kkHldUlVU.pt-BR.vtt 5.2 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/07. Outro.html 5.2 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/07. Outro.html 5.2 KB
- Part 11-Module 01-Lesson 02_Create A Git Repo/05. Outro.html 5.2 KB
- Part 06-Module 02-Lesson 01_Calculus in Neural Networks/05. Backpropagation and Calculus.html 5.2 KB
- Part 05-Module 02-Lesson 03_Linear Mapping Lab/01. Lab Description.html 5.2 KB
- Part 01-Module 01-Lesson 01_Welcome to the Program/03. Meet Your Instructors.html 5.2 KB
- Part 06-Module 02-Lesson 01_Calculus in Neural Networks/02. What is a Neural Network.html 5.2 KB
- Part 05-Module 02-Lesson 01_Vectors Lab/01. Vectors Lab.html 5.2 KB
- Part 03-Module 01-Lesson 01_Why Python Programming/01. Instructor.html 5.2 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/14. Ud206 018 P12 Startup Files (.bash_profile)--zF-XebfzBE.ar.vtt 5.1 KB
- Part 06-Module 02-Lesson 01_Calculus in Neural Networks/03. Gradient Descent.html 5.1 KB
- Part 03-Module 01-Lesson 05_Scripting/26. Experimenting With An Interpreter-hspPtnQwMPg.ar.vtt 5.1 KB
- Part 06-Module 02-Lesson 01_Calculus in Neural Networks/04. Backpropagation.html 5.1 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/11. Linear Transformations 3-g_yTyRwMzXU.en.vtt 5.1 KB
- Part 13-Module 01-Lesson 04_Decision Trees/03. Recommending Apps 3.html 5.1 KB
- Part 13-Module 01-Lesson 05_Naive Bayes/04. Bayesian Learning 2.html 5.1 KB
- assets/css/fonts/KaTeX_Size4-Regular.woff2 5.1 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. DL 18 Q Softmax V2-RC_A9Tu99y4.pt-BR.vtt 5.1 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.zh-CN.vtt 5.0 KB
- Part 13-Module 01-Lesson 05_Naive Bayes/01. Guess the Person.html 5.0 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/index.html 5.0 KB
- Part 02-Module 01-Lesson 01_Welcome to AI Programming/02. Meet Your Instructors.html 5.0 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/01. Intro.html 5.0 KB
- Part 01-Module 02-Lesson 01_Programming with Python/05. Números inteiros e floats-MiJ1vfWp-Ts.pt-BR.vtt 5.0 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/08. Números inteiros e floats-MiJ1vfWp-Ts.pt-BR.vtt 5.0 KB
- Part 06-Module 02-Lesson 01_Calculus in Neural Networks/06. Gradient Descent- Example.html 5.0 KB
- Part 02-Module 01-Lesson 03_Get Help with Your Account/02. Support.html 5.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/20. Cross Entropy 1-iREoPUrpXvE.pt-BR.vtt 5.0 KB
- Part 03-Module 01-Lesson 04_Functions/index.html 5.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.zh-CN.vtt 5.0 KB
- Part 05-Module 01-Lesson 02_Vectors/03. Vectors 3-mWV_MpEjz9c.zh-CN.vtt 5.0 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/07. LinearAlgebra 07 FeedForward PAIND85 V3-pvF6jpS_-cU.pt-BR.vtt 5.0 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/06. L2 031 Levels Of Measurement And Types Of Data V6-3Plhn5Q4xIA.pt-BR.vtt 5.0 KB
- Part 04-Module 01-Lesson 01_Anaconda/02. Why Anaconda-VXukXZv7SCQ.ar.vtt 4.9 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c16-waffleplots4.png 4.9 KB
- Part 13-Module 01-Lesson 08_Outro/02. Want to keep learning.html 4.9 KB
- Part 13-Module 01-Lesson 02_Linear Regression/02. Solution Housing Prices.html 4.9 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/10. Linear Transformations 2-imtEd8M6__s.en.vtt 4.9 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 26 Branching Overview-ywcOC6CLG4s.en.vtt 4.9 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/01. A Repository's History - Intro-UBmg3syQS0E.ar.vtt 4.9 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/index.html 4.9 KB
- Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Part II-1GRv1S6K8gQ.en.vtt 4.9 KB
- Part 13-Module 01-Lesson 02_Linear Regression/03. Fitting a Line Through Data.html 4.9 KB
- Part 04-Module 01-Lesson 03_NumPy/11. NumPy 6 V1-wtLRuGK0kW4.zh-CN.vtt 4.9 KB
- Part 03-Module 01-Lesson 05_Scripting/06. Programming Environment Setup-EKxDnCK0NAk.pt-BR.vtt 4.9 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/15. DataVis L3 08 V2-f1we_0dUSXg.en.vtt 4.9 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/23. Error Function-V5kkHldUlVU.en.vtt 4.9 KB
- Part 03-Module 01-Lesson 05_Scripting/23. Techniques For Importing Modules-jPGyFgcIvsM.pt-BR.vtt 4.8 KB
- Part 13-Module 01-Lesson 03_Logistic Regression/02. Classification Problems 2.html 4.8 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/02. L2 - Pushing To A Fork-WRgNpr19t48.zh-CN.vtt 4.8 KB
- Part 01-Module 02-Lesson 01_Programming with Python/05. Números inteiros e floats-MiJ1vfWp-Ts.en.vtt 4.8 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/08. Números inteiros e floats-MiJ1vfWp-Ts.en.vtt 4.8 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing In Theory-H5JqcdIB5y0.ar.vtt 4.8 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/12. Ud206 016 Shell P10 - Searching And Pipes-AWpVScp9z4s.ar.vtt 4.8 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/20. Cross Entropy 1-iREoPUrpXvE.en.vtt 4.8 KB
- Part 04-Module 01-Lesson 03_NumPy/index.html 4.8 KB
- Part 01-Module 01-Lesson 01_Welcome to the Program/02. AI Programming with Python.html 4.8 KB
- Part 11-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 01 Welcome-lbR82UD5F0c.ar.vtt 4.8 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/13. Strings-ySZDrs-nNqg.zh-CN.vtt 4.8 KB
- Part 04-Module 01-Lesson 04_Pandas/12. Pandas 7 V1-ruTYp-twXO0.zh-CN.vtt 4.8 KB
- Part 03-Module 01-Lesson 04_Functions/02. Defining Functions-IP_tJYhynbc.zh-CN.vtt 4.8 KB
- Part 13-Module 01-Lesson 07_Ensemble Methods/03. AdaBoost.html 4.7 KB
- Part 13-Module 01-Lesson 07_Ensemble Methods/02. Bagging.html 4.7 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.zh-CN.vtt 4.7 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.en.vtt 4.7 KB
- Part 04-Module 01-Lesson 03_NumPy/03. NumPy 0 V1-vyjMs8KFHlE.pt-BR.vtt 4.7 KB
- Part 13-Module 01-Lesson 07_Ensemble Methods/01. Intro.html 4.7 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/08. Dropout-Ty6K6YiGdBs.en.vtt 4.7 KB
- Part 04-Module 01-Lesson 04_Pandas/index.html 4.7 KB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 15 Git The Big Picture-dVil8e0yptQ.ar.vtt 4.7 KB
- Part 13-Module 01-Lesson 08_Outro/01. Summary.html 4.7 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c05-missingdata2.png 4.7 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/09. Linear Transformations 1-99jYIxBRDww.zh-CN.vtt 4.7 KB
- Part 01-Module 02-Lesson 01_Programming with Python/04. Arithmetic Operators-M8TIOK2P2yw.ar.vtt 4.7 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/02. Arithmetic Operators-M8TIOK2P2yw.ar.vtt 4.7 KB
- Part 13-Module 01-Lesson 01_Intro/01. What Is Machine Learning.html 4.7 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs. Continuous-Rm2KxFaPiJg.zh-CN.vtt 4.7 KB
- assets/css/fonts/KaTeX_Size3-Regular.woff 4.7 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/index.html 4.7 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/08. Dropout-Ty6K6YiGdBs.pt-BR.vtt 4.7 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c08-histograms2.png 4.7 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/05. Model Complexity Graph-NnS0FJyVcDQ.zh-CN.vtt 4.6 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt 4.6 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.pt-BR.vtt 4.6 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/24. L2 06 Lists Methods V1-tz2Ja1Eaeqo.en.vtt 4.6 KB
- Part 01-Module 04-Lesson 01_Neural Networks/07. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt 4.6 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt 4.6 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/index.html 4.6 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/03. Vectors 1-oPBz-MLVUHk.en.vtt 4.6 KB
- Part 05-Module 01-Lesson 02_Vectors/01. Vectors 1-oPBz-MLVUHk.en.vtt 4.6 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.ar.vtt 4.6 KB
- Part 09-Module 01-Lesson 01_How Do I Continue From Here/01. Next Steps into the AI World!.html 4.6 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/img/nested-loops-squares.png 4.6 KB
- Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Part II-1GRv1S6K8gQ.zh-CN.vtt 4.6 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.pt-BR.vtt 4.5 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/index.html 4.5 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 26 Branching Overview-ywcOC6CLG4s.pt-BR.vtt 4.5 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 26 Branching Overview-ywcOC6CLG4s.zh-CN.vtt 4.5 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/11. Linear Transformations 3-g_yTyRwMzXU.zh-CN.vtt 4.5 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/18. Maximum Likelihood 2-6nUUeQ9AeUA.pt-BR.vtt 4.5 KB
- Part 05-Module 01-Lesson 02_Vectors/index.html 4.5 KB
- Part 05-Module 02-Lesson 02_Linear Combination Lab/02. AIPND Linear Algebra Linear Combination Solution v2-eMYcAqnR8N4.pt-BR.vtt 4.5 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/20. L3 121 Scales And Transformations V3-PE53ga2bOME.pt-BR.vtt 4.5 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/07. LinearAlgebra 07 FeedForward PAIND85 V3-pvF6jpS_-cU.en.vtt 4.5 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/24. L2 06 Lists Methods V1-tz2Ja1Eaeqo.pt-BR.vtt 4.4 KB
- Part 03-Module 01-Lesson 03_Control Flow/24. Break and Continue-F6qJAv9ts9Y.pt-BR.vtt 4.4 KB
- Part 03-Module 01-Lesson 05_Scripting/25. Third Party Libraries And Package Managers-epOze9gC6T4.ar.vtt 4.4 KB
- Part 04-Module 01-Lesson 03_NumPy/09. NumPy 5 V1-vGjI-WTnEbY.pt-BR.vtt 4.4 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/03. Vectors 1-oPBz-MLVUHk.pt-BR.vtt 4.4 KB
- Part 05-Module 01-Lesson 02_Vectors/01. Vectors 1-oPBz-MLVUHk.pt-BR.vtt 4.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/18. Maximum Likelihood 2-6nUUeQ9AeUA.en.vtt 4.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. DL 18 Q Softmax V2-RC_A9Tu99y4.zh-CN.vtt 4.4 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/16. Type Type Conversion-yN6Fam_vZrU.ar.vtt 4.4 KB
- Part 06-Module 01-Lesson 01_Calculus/index.html 4.3 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/21. L2 09 Lists And Membership Operators V2-rNV_E50wcWM.pt-BR.vtt 4.3 KB
- Part 03-Module 01-Lesson 05_Scripting/23. Techniques For Importing Modules-jPGyFgcIvsM.en.vtt 4.3 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/index.html 4.3 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/index.html 4.3 KB
- Part 03-Module 01-Lesson 05_Scripting/13. Handling Errors Try Except Finally-S6hwBZG0KwM.ar.vtt 4.3 KB
- Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/10. Linear Transformations 2-imtEd8M6__s.zh-CN.vtt 4.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.en.vtt 4.3 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/11. DataVis L3 04 V2-HLum_ys7RJ0.pt-BR.vtt 4.3 KB
- Part 01-Module 02-Lesson 01_Programming with Python/05. Números inteiros e floats-MiJ1vfWp-Ts.zh-CN.vtt 4.3 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/08. Números inteiros e floats-MiJ1vfWp-Ts.zh-CN.vtt 4.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.pt-BR.vtt 4.2 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c12-transforms2.png 4.2 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/19. Python Looping Over Lists-Lqpn7C-RBzY.pt-BR.vtt 4.2 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/img/squiral.png 4.2 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/22. Python Nested Loops-TmnSQqfTvws.pt-BR.vtt 4.2 KB
- Part 04-Module 01-Lesson 03_NumPy/09. NumPy 5 V1-vGjI-WTnEbY.en.vtt 4.2 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/02. L3 - Pull Request In Action-d3AGtKmHxUk.en.vtt 4.2 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/index.html 4.2 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.pt-BR.vtt 4.2 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/05. SVM 10 Polynomial Kernel 2 V2-9RfFvZ9DIRg.en.vtt 4.2 KB
- Part 03-Module 01-Lesson 05_Scripting/26. Experimenting With An Interpreter-hspPtnQwMPg.pt-BR.vtt 4.2 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/23. Error Function-V5kkHldUlVU.zh-CN.vtt 4.1 KB
- Part 05-Module 01-Lesson 03_Linear Combination/index.html 4.1 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c08-histograms1.png 4.1 KB
- Part 03-Module 01-Lesson 03_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.ar.vtt 4.1 KB
- Part 03-Module 01-Lesson 05_Scripting/06. Programming Environment Setup-EKxDnCK0NAk.en.vtt 4.1 KB
- Part 04-Module 01-Lesson 03_NumPy/03. NumPy 0 V1-vyjMs8KFHlE.en.vtt 4.1 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/01. A Repository's History - Intro-UBmg3syQS0E.pt-BR.vtt 4.1 KB
- Part 03-Module 01-Lesson 03_Control Flow/30. List Comprehensions-6qxo-NV9v_s.ar.vtt 4.1 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/15. DataVis L3 08 V2-f1we_0dUSXg.zh-CN.vtt 4.1 KB
- Part 03-Module 01-Lesson 03_Control Flow/02. If Elif and Else-KZubH5XT0eU.ar.vtt 4.1 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt 4.1 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/20. Cross Entropy 1-iREoPUrpXvE.zh-CN.vtt 4.1 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.zh-CN.vtt 4.1 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/index.html 4.1 KB
- Part 04-Module 01-Lesson 01_Anaconda/index.html 4.1 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/index.html 4.1 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/08. Dropout-Ty6K6YiGdBs.zh-CN.vtt 4.1 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.ar.vtt 4.1 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/20. L3 121 Scales And Transformations V3-PE53ga2bOME.en.vtt 4.1 KB
- Part 05-Module 02-Lesson 02_Linear Combination Lab/02. AIPND Linear Algebra Linear Combination Solution v2-eMYcAqnR8N4.en.vtt 4.0 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/14. Ud206 018 P12 Startup Files (.bash_profile)--zF-XebfzBE.en.vtt 4.0 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/01. Shell Intro--EtN5oD8MM0.en.vtt 4.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.zh-CN.vtt 4.0 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/10. L3 031 Bar Charts V3-ybXcduB6cXA.pt-BR.vtt 4.0 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/index.html 4.0 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7 - Downloading-h7FhU1f4TgE.ar.vtt 4.0 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c16-waffleplots2.png 4.0 KB
- Part 03-Module 01-Lesson 03_Control Flow/02. If Statements-jWiIUMrwPqA.ar.vtt 4.0 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/19. Python Looping Over Lists-Lqpn7C-RBzY.en.vtt 4.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/24. Gradient Descent-rhVIF-nigrY.pt-BR.vtt 4.0 KB
- Part 01-Module 04-Lesson 01_Neural Networks/index.html 4.0 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/03. Vectors 1-oPBz-MLVUHk.zh-CN.vtt 4.0 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/11. DataVis L3 04 V2-HLum_ys7RJ0.en.vtt 4.0 KB
- Part 05-Module 01-Lesson 02_Vectors/01. Vectors 1-oPBz-MLVUHk.zh-CN.vtt 4.0 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/03. L3 - Include Upstream Changes-VvoC6hN6FjU.ar.vtt 4.0 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c16-waffleplots1.png 4.0 KB
- Part 01-Module 02-Lesson 01_Programming with Python/05. Whitespace-UxkIwcOczQQ.ar.vtt 4.0 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.ar.vtt 4.0 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/15. Ud206 020 Shell P13 Controlling The Shell Prompt ($PS1)-nnqvRZ-Fx3k.ar.vtt 3.9 KB
- Part 03-Module 01-Lesson 03_Control Flow/24. Break and Continue-F6qJAv9ts9Y.en.vtt 3.9 KB
- Part 05-Module 01-Lesson 01_Introduction/index.html 3.9 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/index.html 3.9 KB
- Part 03-Module 01-Lesson 05_Scripting/23. Techniques For Importing Modules-jPGyFgcIvsM.zh-CN.vtt 3.9 KB
- Part 03-Module 01-Lesson 05_Scripting/06. Programming Environment Setup-EKxDnCK0NAk.zh-CN.vtt 3.9 KB
- Part 04-Module 01-Lesson 03_NumPy/09. NumPy 5 V1-vGjI-WTnEbY.zh-CN.vtt 3.9 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/06. Linear Algebra 06 FeedForward A V7 PAIND83 V1-kQ6rNndcA1I.pt-BR.vtt 3.9 KB
- Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/index.html 3.9 KB
- Part 06-Module 02-Lesson 01_Calculus in Neural Networks/index.html 3.9 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/13. Data Vis L4 C13 V1-Z7NjwA6jbjU.pt-BR.vtt 3.9 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/index.html 3.9 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/07. LinearAlgebra 07 FeedForward PAIND85 V3-pvF6jpS_-cU.zh-CN.vtt 3.9 KB
- Part 11-Module 01-Lesson 01_What is Version Control/index.html 3.9 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/01. A Repository's History - Intro-UBmg3syQS0E.en.vtt 3.9 KB
- Part 13-Module 01-Lesson 07_Ensemble Methods/01. MLND SL EM 01 Intro V1 MAIN V2-5v9KqIo6CFE.pt-BR.vtt 3.9 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/02. Ud206 002 P0 Windows Installing Git Bash-UQZvV6VTlGQ.ar.vtt 3.9 KB
- Part 03-Module 01-Lesson 05_Scripting/08. Scripting With Raw Input-Fs9uLV2qfgI.ar.vtt 3.9 KB
- Part 13-Module 01-Lesson 07_Ensemble Methods/01. MLND SL EM 01 Intro V1 MAIN V2-5v9KqIo6CFE.en.vtt 3.9 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/index.html 3.9 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/05. Linear Boundaries-X-uMlsBi07k.en.vtt 3.9 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/24. Gradient Descent-rhVIF-nigrY.en.vtt 3.9 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/01. Intro-SBUOhyXcR1Q.ar.vtt 3.9 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/index.html 3.8 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/24. L2 06 Lists Methods V1-tz2Ja1Eaeqo.zh-CN.vtt 3.8 KB
- Part 04-Module 01-Lesson 04_Pandas/05. Pandas 2 V1-B7MuFIwboKU.pt-BR.vtt 3.8 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/index.html 3.8 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/02. L3 - Pull Request In Action-d3AGtKmHxUk.pt-BR.vtt 3.8 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/14. Ud206 018 P12 Startup Files (.bash_profile)--zF-XebfzBE.zh-CN.vtt 3.8 KB
- Part 01-Module 01-Lesson 01_Welcome to the Program/index.html 3.8 KB
- Part 01-Module 02-Lesson 01_Programming with Python/index.html 3.8 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/index.html 3.8 KB
- Part 13-Module 01-Lesson 04_Decision Trees/index.html 3.8 KB
- Part 03-Module 01-Lesson 05_Scripting/26. Experimenting With An Interpreter-hspPtnQwMPg.en.vtt 3.8 KB
- Part 01-Module 01-Lesson 01_Welcome to the Program/03. AIPND Instructors FINAL V5-h0_y3eb_3m4.pt-BR.vtt 3.8 KB
- Part 02-Module 01-Lesson 01_Welcome to AI Programming/02. AIPND Instructors FINAL V5-h0_y3eb_3m4.pt-BR.vtt 3.8 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/21. Python Mystery Shape Walkthrough-9yEiInrUQAU.pt-BR.vtt 3.8 KB
- Part 11-Module 01-Lesson 02_Create A Git Repo/index.html 3.8 KB
- Part 04-Module 01-Lesson 04_Pandas/04. Pandas 1 V1-iXnYN8cnhzs.pt-BR.vtt 3.8 KB
- assets/css/fonts/KaTeX_Size3-Regular.woff2 3.8 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/03. L3 - Include Upstream Changes-VvoC6hN6FjU.pt-BR.vtt 3.8 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/30. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.pt-BR.vtt 3.8 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/02. L3 - Pull Request In Action-d3AGtKmHxUk.zh-CN.vtt 3.8 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/index.html 3.8 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/01. Shell Intro--EtN5oD8MM0.zh-CN.vtt 3.8 KB
- Part 05-Module 02-Lesson 03_Linear Mapping Lab/index.html 3.8 KB
- assets/css/styles.css 3.8 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/12. Ud206 016 Shell P10 - Searching And Pipes-AWpVScp9z4s.en.vtt 3.7 KB
- Part 13-Module 01-Lesson 02_Linear Regression/index.html 3.7 KB
- Part 02-Module 01-Lesson 01_Welcome to AI Programming/index.html 3.7 KB
- Part 03-Module 01-Lesson 05_Scripting/25. Third Party Libraries And Package Managers-epOze9gC6T4.pt-BR.vtt 3.7 KB
- Part 03-Module 01-Lesson 01_Why Python Programming/index.html 3.7 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/05. SVM 10 Polynomial Kernel 2 V2-9RfFvZ9DIRg.zh-CN.vtt 3.7 KB
- Part 01-Module 02-Lesson 01_Programming with Python/04. Arithmetic Operators-M8TIOK2P2yw.pt-BR.vtt 3.7 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/02. Arithmetic Operators-M8TIOK2P2yw.pt-BR.vtt 3.7 KB
- Part 13-Module 01-Lesson 05_Naive Bayes/index.html 3.7 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/16. Ud206 021 Shell P14 Aliases-kINmpgXxayM.ar.vtt 3.7 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/13. Data Vis L4 C13 V1-Z7NjwA6jbjU.en.vtt 3.7 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/img/nested-loops-boxes.png 3.7 KB
- Part 04-Module 01-Lesson 03_NumPy/03. NumPy 0 V1-vyjMs8KFHlE.zh-CN.vtt 3.7 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/18. Maximum Likelihood 2-6nUUeQ9AeUA.zh-CN.vtt 3.7 KB
- Part 02-Module 01-Lesson 02_Get Help from Peers and Mentors/index.html 3.7 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/05. Linear Boundaries-X-uMlsBi07k.pt-BR.vtt 3.7 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/16. Type Type Conversion-yN6Fam_vZrU.pt-BR.vtt 3.7 KB
- Part 03-Module 01-Lesson 05_Scripting/11. Errors And Exceptions-DmthSiy2d0U.ar.vtt 3.7 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/02. L4 021 Scatterplots And Correlation V2-wqMwTDVT9_Y.pt-BR.vtt 3.7 KB
- Part 03-Module 01-Lesson 03_Control Flow/24. Break and Continue-F6qJAv9ts9Y.zh-CN.vtt 3.6 KB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.ar.vtt 3.6 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/21. Python Mystery Shape Walkthrough-9yEiInrUQAU.en.vtt 3.6 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.pt-BR.vtt 3.6 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/03. Data Vis L4 C03 V1-0F6ldBC6Nbs.en.vtt 3.6 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/22. Python Nested Loops-TmnSQqfTvws.en.vtt 3.6 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.zh-CN.vtt 3.6 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/05. L1 - Adding A Commit On GitHub-UBYxcTg6VLU.ar.vtt 3.6 KB
- Part 05-Module 02-Lesson 02_Linear Combination Lab/02. AIPND Linear Algebra Linear Combination Solution v2-eMYcAqnR8N4.zh-CN.vtt 3.6 KB
- Part 05-Module 02-Lesson 02_Linear Combination Lab/index.html 3.6 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/06. Linear Algebra 06 FeedForward A V7 PAIND83 V1-kQ6rNndcA1I.en.vtt 3.6 KB
- Part 13-Module 01-Lesson 03_Logistic Regression/index.html 3.6 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.ar.vtt 3.6 KB
- Part 03-Module 01-Lesson 03_Control Flow/27. Zip and Enumerate-bSJPzVArE7M.ar.vtt 3.6 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/03. L4 031 Overplotting Transparency And Jitter 1 V4-BGqR-nxgMtg.pt-BR.vtt 3.6 KB
- Part 13-Module 01-Lesson 07_Ensemble Methods/index.html 3.6 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/11. Data Vis L4 C11 V1-3Ls6w8Cd8n4.pt-BR.vtt 3.6 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/02. L4 021 Scatterplots And Correlation V2-wqMwTDVT9_Y.en.vtt 3.6 KB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 15 Git The Big Picture-dVil8e0yptQ.en.vtt 3.5 KB
- Part 11-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 01 Welcome-lbR82UD5F0c.en.vtt 3.5 KB
- Part 05-Module 02-Lesson 01_Vectors Lab/index.html 3.5 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/09. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.en.vtt 3.5 KB
- Part 03-Module 01-Lesson 03_Control Flow/30. List Comprehensions-6qxo-NV9v_s.pt-BR.vtt 3.5 KB
- Part 04-Module 01-Lesson 01_Anaconda/02. Why Anaconda-VXukXZv7SCQ.zh-CN.vtt 3.5 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/19. Python Looping Over Lists-Lqpn7C-RBzY.zh-CN.vtt 3.5 KB
- Part 02-Module 01-Lesson 03_Get Help with Your Account/index.html 3.5 KB
- Part 09-Module 01-Lesson 01_How Do I Continue From Here/index.html 3.5 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/12. Ud206 016 Shell P10 - Searching And Pipes-AWpVScp9z4s.zh-CN.vtt 3.5 KB
- Part 13-Module 01-Lesson 08_Outro/index.html 3.5 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/01. Shell Intro--EtN5oD8MM0.pt-BR.vtt 3.5 KB
- Part 01-Module 05-Lesson 01_Ready to Level Up with AI/index.html 3.5 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.zh-CN.vtt 3.5 KB
- Part 03-Module 01-Lesson 05_Scripting/25. Third Party Libraries And Package Managers-epOze9gC6T4.en.vtt 3.5 KB
- Part 11-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 01 Welcome-lbR82UD5F0c.pt-BR.vtt 3.5 KB
- Part 13-Module 01-Lesson 01_Intro/index.html 3.5 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/01. A Repository's History - Intro-UBmg3syQS0E.zh-CN.vtt 3.5 KB
- Part 14-Module 01-Lesson 01_Visualizing The Importance Of The Learning Rate/index.html 3.5 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/20. L3 121 Scales And Transformations V3-PE53ga2bOME.zh-CN.vtt 3.5 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.en.vtt 3.5 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/11. DataVis L3 04 V2-HLum_ys7RJ0.zh-CN.vtt 3.4 KB
- Part 04-Module 01-Lesson 01_Anaconda/02. Why Anaconda-VXukXZv7SCQ.en.vtt 3.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. Calculating The Gradient 1 -tVuZDbUrzzI.pt-BR.vtt 3.4 KB
- Part 01-Module 02-Lesson 01_Programming with Python/03. L1 02 استعراض البرنامج التدريبي V4-vFxXSIV5cHM.ar.vtt 3.4 KB
- Part 03-Module 01-Lesson 01_Why Python Programming/04. L1 02 Course Overview V4-vFxXSIV5cHM.ar.vtt 3.4 KB
- Part 03-Module 01-Lesson 03_Control Flow/19. L3 08 While Loops V3-7Sf5tcPlKQw.pt-BR.vtt 3.4 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/05. LinearAlgebra 05 RNN FFNN Reminder PAIND 82mp4 V1-SSgQRH-V-1k.pt-BR.vtt 3.4 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/12. Ud206 016 Shell P10 - Searching And Pipes-AWpVScp9z4s.pt-BR.vtt 3.4 KB
- Part 03-Module 01-Lesson 04_Functions/14. Iterators And Generators-tYH8X4Zeh-0.ar.vtt 3.4 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/03. L4 031 Overplotting Transparency And Jitter 1 V4-BGqR-nxgMtg.en.vtt 3.4 KB
- Part 01-Module 02-Lesson 01_Programming with Python/04. Arithmetic Operators-M8TIOK2P2yw.en.vtt 3.4 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/02. Arithmetic Operators-M8TIOK2P2yw.en.vtt 3.4 KB
- Part 03-Module 01-Lesson 04_Functions/08. Documentation-_Vl9NJkA6JQ.ar.vtt 3.4 KB
- Part 04-Module 01-Lesson 04_Pandas/06. Pandas 3 V1-yhMT0X6YPFA.pt-BR.vtt 3.4 KB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 15 Git The Big Picture-dVil8e0yptQ.pt-BR.vtt 3.4 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/02. Jupyter-qiYDWFLyXvg.ar.vtt 3.4 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/10. L3 031 Bar Charts V3-ybXcduB6cXA.en.vtt 3.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt 3.4 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/14. Ud206 018 P12 Startup Files (.bash_profile)--zF-XebfzBE.pt-BR.vtt 3.4 KB
- Part 01-Module 04-Lesson 01_Neural Networks/07. Layers-pg99FkXYK0M.en.vtt 3.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Layers-pg99FkXYK0M.en.vtt 3.4 KB
- Part 13-Module 01-Lesson 05_Naive Bayes/01. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.en.vtt 3.4 KB
- Part 04-Module 01-Lesson 04_Pandas/04. Pandas 1 V1-iXnYN8cnhzs.en.vtt 3.4 KB
- Part 03-Module 01-Lesson 05_Scripting/13. Handling Errors Try Except Finally-S6hwBZG0KwM.pt-BR.vtt 3.4 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/30. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.en.vtt 3.4 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing In Theory-H5JqcdIB5y0.en.vtt 3.4 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/03. Data Vis L4 C03 V1-0F6ldBC6Nbs.pt-BR.vtt 3.4 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/19. L3 111 Descriptive Stats Outliers And Axis Limits V2-kQoK7UwrGh0.pt-BR.vtt 3.4 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.en.vtt 3.4 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.pt-BR.vtt 3.4 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/09. Data Vis L4 C09 V1-OnzWhpgM9Vs.pt-BR.vtt 3.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/05. Linear Boundaries-X-uMlsBi07k.zh-CN.vtt 3.4 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/05. L2 04b Variables II V3-4IJqbP8vi6A.ar.vtt 3.4 KB
- Part 01-Module 04-Lesson 01_Neural Networks/07. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt 3.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt 3.3 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/11. Data Vis L4 C11 V1-3Ls6w8Cd8n4.en.vtt 3.3 KB
- Part 04-Module 01-Lesson 04_Pandas/05. Pandas 2 V1-B7MuFIwboKU.en.vtt 3.3 KB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 15 Git The Big Picture-dVil8e0yptQ.zh-CN.vtt 3.3 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/02. Ud206 002 P0 Windows Installing Git Bash-UQZvV6VTlGQ.en.vtt 3.3 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/05. SVM 10 Polynomial Kernel 2 V2-9RfFvZ9DIRg.pt-BR.vtt 3.3 KB
- Part 03-Module 01-Lesson 03_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.pt-BR.vtt 3.3 KB
- Part 01-Module 04-Lesson 01_Neural Networks/07. Layers-pg99FkXYK0M.pt-BR.vtt 3.3 KB
- Part 03-Module 01-Lesson 05_Scripting/26. Experimenting With An Interpreter-hspPtnQwMPg.zh-CN.vtt 3.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Layers-pg99FkXYK0M.pt-BR.vtt 3.3 KB
- Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files-w-ZG6DMkVi4.ar.vtt 3.3 KB
- Part 11-Module 01-Lesson 01_What is Version Control/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.ar.vtt 3.3 KB
- Part 01-Module 04-Lesson 01_Neural Networks/01. Introduction-tn-CrUTkCUc.en.vtt 3.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/02. Introduction-tn-CrUTkCUc.en.vtt 3.3 KB
- Part 03-Module 01-Lesson 05_Scripting/08. Scripting With Raw Input-Fs9uLV2qfgI.pt-BR.vtt 3.3 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/03. L3 - Include Upstream Changes-VvoC6hN6FjU.en.vtt 3.3 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/22. Python Nested Loops-TmnSQqfTvws.zh-CN.vtt 3.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.pt-BR.vtt 3.3 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/21. Python Mystery Shape Walkthrough-9yEiInrUQAU.zh-CN.vtt 3.3 KB
- Part 13-Module 01-Lesson 05_Naive Bayes/01. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.pt-BR.vtt 3.2 KB
- Part 04-Module 01-Lesson 01_Anaconda/02. Why Anaconda-VXukXZv7SCQ.pt-BR.vtt 3.2 KB
- Part 01-Module 02-Lesson 01_Programming with Python/05. Whitespace-UxkIwcOczQQ.pt-BR.vtt 3.2 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.pt-BR.vtt 3.2 KB
- Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/03. L3 03 Class Obj Methods Attributes V1 1 V2-yvVMJt09HuA.pt-BR.vtt 3.2 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing In Theory-H5JqcdIB5y0.pt-BR.vtt 3.2 KB
- Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/03. L3 03 Class Obj Methods Attributes V1 1 V2-yvVMJt09HuA.en.vtt 3.2 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/08. Ud206 009 Shell P6 - Organizing Your Files-NZsYyzzpJXA.ar.vtt 3.2 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/mse.png 3.2 KB
- Part 11-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 01 Welcome-lbR82UD5F0c.zh-CN.vtt 3.2 KB
- Part 13-Module 01-Lesson 07_Ensemble Methods/02. MLND SL EM 02 Bagging V1 MAIN V1-9L_B0Jcio3c.en.vtt 3.2 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/16. Type Type Conversion-yN6Fam_vZrU.en.vtt 3.2 KB
- Part 03-Module 01-Lesson 03_Control Flow/02. If Elif and Else-KZubH5XT0eU.pt-BR.vtt 3.2 KB
- Part 01-Module 01-Lesson 01_Welcome to the Program/03. AIPND Instructors FINAL V5-h0_y3eb_3m4.en.vtt 3.2 KB
- Part 02-Module 01-Lesson 01_Welcome to AI Programming/02. AIPND Instructors FINAL V5-h0_y3eb_3m4.en.vtt 3.2 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/04. Data Vis L4 C04 V1-O6ElT4IFXc0.en.vtt 3.2 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/06. Linear Algebra 06 FeedForward A V7 PAIND83 V1-kQ6rNndcA1I.zh-CN.vtt 3.2 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/09. Data Vis L4 C09 V1-OnzWhpgM9Vs.en.vtt 3.2 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/06. Data Vis L4 C06 V2-f8Kh4PByiEA.en.vtt 3.2 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/09. AND And OR Perceptrons-45K5N0P9wJk.pt-BR.vtt 3.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/03. Data Vis L4 C03 V1-0F6ldBC6Nbs.zh-CN.vtt 3.1 KB
- Part 03-Module 01-Lesson 03_Control Flow/07. Complex Boolean Expressions-gWmIKWgzFqI.ar.vtt 3.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/07. L4 071 Box Plots V4-3gxJag12T0g.pt-BR.vtt 3.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/04. Data Vis L4 C04 V1-O6ElT4IFXc0.pt-BR.vtt 3.1 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/04. Ud206 004 Shell P2 - Your First Command-ggf5WhOYy1U.ar.vtt 3.1 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/20. DataVis L3 12 V2-fo0VIbQRBJk.pt-BR.vtt 3.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/06. Data Vis L4 C06 V2-f8Kh4PByiEA.pt-BR.vtt 3.1 KB
- Part 03-Module 01-Lesson 03_Control Flow/02. If Statements-jWiIUMrwPqA.pt-BR.vtt 3.1 KB
- Part 13-Module 01-Lesson 07_Ensemble Methods/02. MLND SL EM 02 Bagging V1 MAIN V1-9L_B0Jcio3c.pt-BR.vtt 3.1 KB
- Part 03-Module 01-Lesson 05_Scripting/25. Third Party Libraries And Package Managers-epOze9gC6T4.zh-CN.vtt 3.1 KB
- Part 01-Module 04-Lesson 01_Neural Networks/01. Introduction-tn-CrUTkCUc.pt-BR.vtt 3.1 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/02. Introduction-tn-CrUTkCUc.pt-BR.vtt 3.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/07. L4 071 Box Plots V4-3gxJag12T0g.en.vtt 3.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/13. Data Vis L4 C13 V1-Z7NjwA6jbjU.zh-CN.vtt 3.1 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/02. Ud206 002 P0 Windows Installing Git Bash-UQZvV6VTlGQ.zh-CN.vtt 3.1 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/02. L1 - Remote Repos Intro-AnSlYftJnwA.ar.vtt 3.1 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.zh-CN.vtt 3.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/02. Data Vis L4 C02 V1-wBDC5AmYgyg.en.vtt 3.1 KB
- Part 04-Module 01-Lesson 04_Pandas/04. Pandas 1 V1-iXnYN8cnhzs.zh-CN.vtt 3.1 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing In Theory-H5JqcdIB5y0.zh-CN.vtt 3.1 KB
- Part 01-Module 04-Lesson 01_Neural Networks/07. Layers-pg99FkXYK0M.zh-CN.vtt 3.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Layers-pg99FkXYK0M.zh-CN.vtt 3.0 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7 - Downloading-h7FhU1f4TgE.en.vtt 3.0 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/02. L3 - Pull Request In Theory-twLr9ndsf90.ar.vtt 3.0 KB
- Part 03-Module 01-Lesson 03_Control Flow/19. L3 08 While Loops V3-7Sf5tcPlKQw.en.vtt 3.0 KB
- Part 03-Module 01-Lesson 04_Functions/08. Documentation-_Vl9NJkA6JQ.pt-BR.vtt 3.0 KB
- Part 03-Module 01-Lesson 05_Scripting/11. Errors And Exceptions-DmthSiy2d0U.pt-BR.vtt 3.0 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/03. L3 - Include Upstream Changes-VvoC6hN6FjU.zh-CN.vtt 3.0 KB
- Part 01-Module 04-Lesson 01_Neural Networks/07. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt 3.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt 3.0 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/03. L4 031 Overplotting Transparency And Jitter 1 V4-BGqR-nxgMtg.zh-CN.vtt 3.0 KB
- Part 04-Module 01-Lesson 04_Pandas/05. Pandas 2 V1-B7MuFIwboKU.zh-CN.vtt 3.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/09. AND And OR Perceptrons-45K5N0P9wJk.en.vtt 3.0 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/01. Introduction-4F7SC0C6tfQ.ar.vtt 3.0 KB
- Part 13-Module 01-Lesson 05_Naive Bayes/01. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.zh-CN.vtt 3.0 KB
- Part 01-Module 02-Lesson 01_Programming with Python/05. Whitespace-UxkIwcOczQQ.en.vtt 3.0 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.en.vtt 3.0 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/04. AIPND-Preview - Linear Algebra Lab -Jupyter Notebook How-to -P8ZMzlDrYOw.en.vtt 3.0 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/09. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.zh-CN.vtt 3.0 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/04. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.en.vtt 3.0 KB
- Part 03-Module 01-Lesson 05_Scripting/05. Running A Python Script-vMKemwCderg.ar.vtt 3.0 KB
- Part 13-Module 01-Lesson 07_Ensemble Methods/03. MLND SL EM 03 AdaBoost V1 MAIN V1-HD6SRBWKGUE.en.vtt 3.0 KB
- Part 01-Module 02-Lesson 01_Programming with Python/04. Arithmetic Operators-M8TIOK2P2yw.zh-CN.vtt 3.0 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/02. Arithmetic Operators-M8TIOK2P2yw.zh-CN.vtt 3.0 KB
- Part 03-Module 01-Lesson 04_Functions/14. Iterators And Generators-tYH8X4Zeh-0.pt-BR.vtt 3.0 KB
- Part 11-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.ar.vtt 3.0 KB
- Part 03-Module 01-Lesson 05_Scripting/13. Handling Errors Try Except Finally-S6hwBZG0KwM.en.vtt 3.0 KB
- Part 13-Module 01-Lesson 07_Ensemble Methods/03. MLND SL EM 03 AdaBoost V1 MAIN V1-HD6SRBWKGUE.pt-BR.vtt 3.0 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/20. DataVis L3 12 V2-fo0VIbQRBJk.en.vtt 3.0 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/21. L2 08 Lists And Membership Operators V2-JAbZdZg5_x8.pt-BR.vtt 3.0 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/19. L3 111 Descriptive Stats Outliers And Axis Limits V2-kQoK7UwrGh0.en.vtt 3.0 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/16. Type Type Conversion-yN6Fam_vZrU.zh-CN.vtt 2.9 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/06. 09 Higher Dimensions-eBHunImDmWw.en.vtt 2.9 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/13. Ud206 017 Shell P11 - Variables-Dx3WlMZk8iA.en.vtt 2.9 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/backprop-error.gif 2.9 KB
- Part 03-Module 01-Lesson 03_Control Flow/30. List Comprehensions-6qxo-NV9v_s.en.vtt 2.9 KB
- Part 04-Module 01-Lesson 04_Pandas/06. Pandas 3 V1-yhMT0X6YPFA.en.vtt 2.9 KB
- Part 03-Module 01-Lesson 03_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.en.vtt 2.9 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/03. L1 - New Repo Git Commands On GitHub-myuGLZLYpYY.ar.vtt 2.9 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/14. L3 071 Pie Charts V3-kSrJGJHTKV8.pt-BR.vtt 2.9 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/05. LinearAlgebra 05 RNN FFNN Reminder PAIND 82mp4 V1-SSgQRH-V-1k.en.vtt 2.9 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/15. Ud206 020 Shell P13 Controlling The Shell Prompt ($PS1)-nnqvRZ-Fx3k.en.vtt 2.9 KB
- Part 03-Module 01-Lesson 05_Scripting/13. Handling Error Specifying Exceptions-EHW5I7shdJg.ar.vtt 2.9 KB
- Part 03-Module 01-Lesson 03_Control Flow/30. List Comprehensions-6qxo-NV9v_s.zh-CN.vtt 2.9 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/02. L4 021 Scatterplots And Correlation V2-wqMwTDVT9_Y.zh-CN.vtt 2.9 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt 2.9 KB
- Part 01-Module 02-Lesson 01_Programming with Python/03. L1 02 استعراض البرنامج التدريبي V4-vFxXSIV5cHM.pt-BR.vtt 2.9 KB
- Part 03-Module 01-Lesson 01_Why Python Programming/04. L1 02 Course Overview V4-vFxXSIV5cHM.pt-BR.vtt 2.9 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/03. Ud206 003 Shell P1 - Opening A Terminal-4q6Vtym-nno.ar.vtt 2.9 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/05. L1 - Adding A Commit On GitHub-UBYxcTg6VLU.en.vtt 2.9 KB
- Part 03-Module 01-Lesson 05_Scripting/23. Techniques For Importing Modules Part II-aASigWQ_XU0.ar.vtt 2.9 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/13. Python Using Variables-i7nff81Gr8U.pt-BR.vtt 2.9 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7 - Downloading-h7FhU1f4TgE.pt-BR.vtt 2.8 KB
- Part 01-Module 04-Lesson 01_Neural Networks/01. Introduction-tn-CrUTkCUc.zh-CN.vtt 2.8 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/02. Introduction-tn-CrUTkCUc.zh-CN.vtt 2.8 KB
- Part 03-Module 01-Lesson 03_Control Flow/02. If Elif and Else-KZubH5XT0eU.en.vtt 2.8 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/weight-label-reference.gif 2.8 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.en.vtt 2.8 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/05. L2 04b Variables II V3-4IJqbP8vi6A.pt-BR.vtt 2.8 KB
- Part 03-Module 01-Lesson 05_Scripting/13. Handling Errors Try Except Finally-S6hwBZG0KwM.zh-CN.vtt 2.8 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/01. Intro-SBUOhyXcR1Q.pt-BR.vtt 2.8 KB
- Part 05-Module 01-Lesson 02_Vectors/02. Vectors 2-R7WiQYixvRQ.en.vtt 2.8 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/01. Intro-SBUOhyXcR1Q.en.vtt 2.8 KB
- Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files-w-ZG6DMkVi4.pt-BR.vtt 2.8 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/13. Ud206 017 Shell P11 - Variables-Dx3WlMZk8iA.pt-BR.vtt 2.8 KB
- Part 03-Module 01-Lesson 03_Control Flow/19. L3 08 While Loops V3-7Sf5tcPlKQw.zh-CN.vtt 2.8 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/04. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.zh-CN.vtt 2.8 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/05. Variables-7pxpUot4x0w.ar.vtt 2.8 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/hidden-errors.gif 2.8 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.en.vtt 2.8 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/04. Data Vis L4 C04 V1-O6ElT4IFXc0.zh-CN.vtt 2.8 KB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.pt-BR.vtt 2.8 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/13. Python Using Variables-i7nff81Gr8U.en.vtt 2.8 KB
- Part 03-Module 01-Lesson 05_Scripting/11. Errors And Exceptions-DmthSiy2d0U.en.vtt 2.8 KB
- Part 01-Module 01-Lesson 01_Welcome to the Program/03. AIPND Instructors FINAL V5-h0_y3eb_3m4.zh-CN.vtt 2.8 KB
- Part 02-Module 01-Lesson 01_Welcome to AI Programming/02. AIPND Instructors FINAL V5-h0_y3eb_3m4.zh-CN.vtt 2.8 KB
- Part 13-Module 01-Lesson 04_Decision Trees/03. Recommending Apps-nEvW8B1HNq4.en.vtt 2.8 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/02. Data Vis L4 C02 V1-wBDC5AmYgyg.pt-BR.vtt 2.8 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/08. Python Finding Errors Solution-mmlAuiQKAFI.pt-BR.vtt 2.8 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/10. L3 031 Bar Charts V3-ybXcduB6cXA.zh-CN.vtt 2.8 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7 - Downloading-h7FhU1f4TgE.zh-CN.vtt 2.8 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/09. Data Vis L4 C09 V1-OnzWhpgM9Vs.zh-CN.vtt 2.8 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/11. Data Vis L4 C11 V1-3Ls6w8Cd8n4.zh-CN.vtt 2.8 KB
- Part 01-Module 04-Lesson 01_Neural Networks/07. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt 2.8 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt 2.8 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/30. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.zh-CN.vtt 2.8 KB
- Part 11-Module 01-Lesson 01_What is Version Control/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.pt-BR.vtt 2.8 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/02. Ud206 002 P0 Windows Installing Git Bash-UQZvV6VTlGQ.pt-BR.vtt 2.8 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/09. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.pt-BR.vtt 2.8 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/26. L2 04 Tuples V3-33xN-AbTMoc.pt-BR.vtt 2.7 KB
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/05. LinearAlgebra 05 RNN FFNN Reminder PAIND 82mp4 V1-SSgQRH-V-1k.zh-CN.vtt 2.7 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/16. Ud206 021 Shell P14 Aliases-kINmpgXxayM.en.vtt 2.7 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/07. L4 071 Box Plots V4-3gxJag12T0g.zh-CN.vtt 2.7 KB
- Part 03-Module 01-Lesson 05_Scripting/08. Scripting With Raw Input-Fs9uLV2qfgI.en.vtt 2.7 KB
- Part 03-Module 01-Lesson 04_Functions/02. Default Arguments-cG6UfBZX2KI.ar.vtt 2.7 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/05. Ud206 006 Shell P3 - Navigating Directories-i9Xp94DmdB8.ar.vtt 2.7 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/15. Ud206 020 Shell P13 Controlling The Shell Prompt ($PS1)-nnqvRZ-Fx3k.zh-CN.vtt 2.7 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/03. SVM 03 Error Function V1-l-ahImxoi-U.en.vtt 2.7 KB
- Part 01-Module 04-Lesson 01_Neural Networks/02. Classsification Example-Dh625piH7Z0.en.vtt 2.7 KB
- Part 03-Module 01-Lesson 04_Functions/08. Documentation-_Vl9NJkA6JQ.en.vtt 2.7 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/03. Classsification Example-Dh625piH7Z0.en.vtt 2.7 KB
- Part 13-Module 01-Lesson 03_Logistic Regression/01. Classsification Example-Dh625piH7Z0.en.vtt 2.7 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/01. Introduction-4F7SC0C6tfQ.pt-BR.vtt 2.7 KB
- Part 03-Module 01-Lesson 03_Control Flow/02. If Statements-jWiIUMrwPqA.en.vtt 2.7 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/02. Jupyter-qiYDWFLyXvg.en.vtt 2.7 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/15. Momentum-r-rYz_PEWC8.pt-BR.vtt 2.7 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/11. L4 111 Faceting V2-oUYRqI6wFGw.pt-BR.vtt 2.7 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/06. Ud206 007 Shell P4 - Current Working Directory-X7dsy3oMHp0.ar.vtt 2.7 KB
- Part 03-Module 01-Lesson 04_Functions/11. L4 08 Lambda Expressions V3-wkEmPz1peJM.pt-BR.vtt 2.7 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/06. Data Vis L4 C06 V2-f8Kh4PByiEA.zh-CN.vtt 2.7 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/12. Other Activation Functions-kA-1vUt6cvQ.en.vtt 2.7 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/05. L1 - Adding A Commit On GitHub-UBYxcTg6VLU.pt-BR.vtt 2.7 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.pt-BR.vtt 2.7 KB
- Part 03-Module 01-Lesson 04_Functions/14. Iterators And Generators-tYH8X4Zeh-0.en.vtt 2.7 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/06. 09 Higher Dimensions-eBHunImDmWw.pt-BR.vtt 2.7 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/04. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.pt-BR.vtt 2.7 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/04. Ud206 004 Shell P2 - Your First Command-ggf5WhOYy1U.en.vtt 2.7 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/15. L4 151 Lesson Summary V1-5igqM44KEmw.pt-BR.vtt 2.6 KB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.en.vtt 2.6 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/02. Data Vis L4 C02 V1-wBDC5AmYgyg.zh-CN.vtt 2.6 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. Perceptron Algorithm--zhTROHtscQ.en.vtt 2.6 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/25. Gradient Descent Algorithm-snxmBgi_GeU.pt-BR.vtt 2.6 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/02. Jupyter-qiYDWFLyXvg.zh-CN.vtt 2.6 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/03. L1 061 Visualization In Python V1-MFS-1veFC_c.pt-BR.vtt 2.6 KB
- Part 03-Module 01-Lesson 03_Control Flow/07. Truth Value Testing-e52uw7ejV8k.ar.vtt 2.6 KB
- Part 03-Module 01-Lesson 03_Control Flow/27. Zip and Enumerate-bSJPzVArE7M.pt-BR.vtt 2.6 KB
- Part 01-Module 02-Lesson 01_Programming with Python/05. Whitespace-UxkIwcOczQQ.zh-CN.vtt 2.6 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.zh-CN.vtt 2.6 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/20. DataVis L3 12 V2-fo0VIbQRBJk.zh-CN.vtt 2.6 KB
- Part 03-Module 01-Lesson 05_Scripting/11. Errors And Exceptions-DmthSiy2d0U.zh-CN.vtt 2.6 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/28. L2 03 Sets V2-eIHNFgTFfnA.pt-BR.vtt 2.6 KB
- Part 04-Module 01-Lesson 04_Pandas/06. Pandas 3 V1-yhMT0X6YPFA.zh-CN.vtt 2.6 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. DL 18 S Softmax-n8S-v_LCTms.en.vtt 2.6 KB
- Part 11-Module 01-Lesson 01_What is Version Control/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.ar.vtt 2.6 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/img/rainbow-box.png 2.6 KB
- Part 13-Module 01-Lesson 04_Decision Trees/03. Recommending Apps-nEvW8B1HNq4.zh-CN.vtt 2.6 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 71 Merging-gQiWicrreJg.ar.vtt 2.6 KB
- Part 11-Module 01-Lesson 01_What is Version Control/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.en.vtt 2.6 KB
- Part 03-Module 01-Lesson 03_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.zh-CN.vtt 2.6 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/14. L3 071 Pie Charts V3-kSrJGJHTKV8.en.vtt 2.6 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/12. Other Activation Functions-kA-1vUt6cvQ.pt-BR.vtt 2.5 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.ar.vtt 2.5 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/25. Gradient Descent Algorithm-snxmBgi_GeU.en.vtt 2.5 KB
- Part 05-Module 01-Lesson 02_Vectors/02. Vectors 2-R7WiQYixvRQ.pt-BR.vtt 2.5 KB
- Part 03-Module 01-Lesson 03_Control Flow/27. Zip and Enumerate-bSJPzVArE7M.en.vtt 2.5 KB
- Part 03-Module 01-Lesson 05_Scripting/05. Running A Python Script-vMKemwCderg.pt-BR.vtt 2.5 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. DL 18 S Softmax-n8S-v_LCTms.pt-BR.vtt 2.5 KB
- Part 01-Module 04-Lesson 01_Neural Networks/02. Classsification Example-Dh625piH7Z0.pt-BR.vtt 2.5 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/03. Classsification Example-Dh625piH7Z0.pt-BR.vtt 2.5 KB
- Part 13-Module 01-Lesson 03_Logistic Regression/01. Classsification Example-Dh625piH7Z0.pt-BR.vtt 2.5 KB
- Part 13-Module 01-Lesson 04_Decision Trees/03. Recommending Apps-nEvW8B1HNq4.pt-BR.vtt 2.5 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/07. Python Moving And Turning-_APxiaRZg_0.pt-BR.vtt 2.5 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/03. Ud206 003 Shell P1 - Opening A Terminal-4q6Vtym-nno.en.vtt 2.5 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/04. Ud206 004 Shell P2 - Your First Command-ggf5WhOYy1U.zh-CN.vtt 2.5 KB
- Part 03-Module 01-Lesson 03_Control Flow/02. If Elif and Else-KZubH5XT0eU.zh-CN.vtt 2.5 KB
- Part 13-Module 01-Lesson 04_Decision Trees/05. Student Admissions-TdgBi6LtOB8.en.vtt 2.5 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/05. L1 - Adding A Commit On GitHub-UBYxcTg6VLU.zh-CN.vtt 2.5 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/15. Momentum-r-rYz_PEWC8.en.vtt 2.5 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/19. L3 111 Descriptive Stats Outliers And Axis Limits V2-kQoK7UwrGh0.zh-CN.vtt 2.5 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/01. Intro-SBUOhyXcR1Q.zh-CN.vtt 2.5 KB
- Part 03-Module 01-Lesson 05_Scripting/08. Scripting With Raw Input-Fs9uLV2qfgI.zh-CN.vtt 2.5 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.zh-CN.vtt 2.5 KB
- Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/02. L3 02 Proced Vs OOP V1 V3-psXD_J8FnCQ.pt-BR.vtt 2.5 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/12. L4 121 Adaptations Of Univariate Plots V3-MXcqplnUB0o.pt-BR.vtt 2.5 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/09. AND And OR Perceptrons-45K5N0P9wJk.zh-CN.vtt 2.5 KB
- Part 13-Module 01-Lesson 01_Intro/01. Introduction-bYeteZQrUcE.pt-BR.vtt 2.5 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/16. Python Looping With For Loops-8XmmUg1qdJE.pt-BR.vtt 2.5 KB
- Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files-w-ZG6DMkVi4.en.vtt 2.5 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.zh-CN.vtt 2.5 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/08. Python Finding Errors Solution-mmlAuiQKAFI.en.vtt 2.5 KB
- Part 11-Module 01-Lesson 01_What is Version Control/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.zh-CN.vtt 2.5 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/05. Variables-7pxpUot4x0w.pt-BR.vtt 2.5 KB
- Part 03-Module 01-Lesson 03_Control Flow/07. Complex Boolean Expressions-gWmIKWgzFqI.pt-BR.vtt 2.4 KB
- Part 01-Module 02-Lesson 01_Programming with Python/03. L1 02 استعراض البرنامج التدريبي V4-vFxXSIV5cHM.en.vtt 2.4 KB
- Part 03-Module 01-Lesson 01_Why Python Programming/04. L1 02 Course Overview V4-vFxXSIV5cHM.en.vtt 2.4 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/01. Undoing Changes - Intro-Kfi7l41wUVc.ar.vtt 2.4 KB
- Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Using With-OQ-Y0mMjm00.ar.vtt 2.4 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/05. Assignment Operators-p_qfzL-x3Cs.ar.vtt 2.4 KB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.zh-CN.vtt 2.4 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/07. Backpropagation-MZL97-2joxQ.en-US.vtt 2.4 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/05. L2 04b Variables II V3-4IJqbP8vi6A.en.vtt 2.4 KB
- Part 03-Module 01-Lesson 04_Functions/14. Iterators And Generators-tYH8X4Zeh-0.zh-CN.vtt 2.4 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/13. L4 131 Line Plots V1-kSntEWPuOa0.pt-BR.vtt 2.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. Perceptron Algorithm--zhTROHtscQ.pt-BR.vtt 2.4 KB
- Part 04-Module 01-Lesson 02_Jupyter Notebooks/02. Jupyter-qiYDWFLyXvg.pt-BR.vtt 2.4 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/03. Testing-EeBZpb-PSac.en.vtt 2.4 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/07. Backpropagation-MZL97-2joxQ.pt-BR.vtt 2.4 KB
- Part 03-Module 01-Lesson 04_Functions/02. Default Arguments-cG6UfBZX2KI.pt-BR.vtt 2.4 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/13. Python Using Variables-i7nff81Gr8U.zh-CN.vtt 2.4 KB
- Part 13-Module 01-Lesson 05_Naive Bayes/03. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.en.vtt 2.4 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/01. Tagging, Branching, And Merging - Intro-sMf_r4_z-Ls.ar.vtt 2.4 KB
- Part 11-Module 01-Lesson 02_Create A Git Repo/01. Creating New Repositories - Intro-KT163BkqIeg.ar.vtt 2.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/06. 09 Higher Dimensions-eBHunImDmWw.zh-CN.vtt 2.4 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/03. Testing-EeBZpb-PSac.pt-BR.vtt 2.4 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/16. Ud206 021 Shell P14 Aliases-kINmpgXxayM.zh-CN.vtt 2.4 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/01. Python Welcome To Python Programming-_XOoHSQIkkw.pt-BR.vtt 2.4 KB
- Part 01-Module 04-Lesson 01_Neural Networks/02. Classsification Example-Dh625piH7Z0.zh-CN.vtt 2.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/03. Classsification Example-Dh625piH7Z0.zh-CN.vtt 2.4 KB
- Part 13-Module 01-Lesson 03_Logistic Regression/01. Classsification Example-Dh625piH7Z0.zh-CN.vtt 2.4 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/03. SVM 03 Error Function V1-l-ahImxoi-U.pt-BR.vtt 2.4 KB
- Part 03-Module 01-Lesson 04_Functions/08. Documentation-_Vl9NJkA6JQ.zh-CN.vtt 2.4 KB
- Part 13-Module 01-Lesson 01_Intro/01. Introduction-bYeteZQrUcE.en.vtt 2.4 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.ar.vtt 2.4 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/02. L3 - Pull Request In Theory-twLr9ndsf90.pt-BR.vtt 2.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. Perceptron Algorithm--zhTROHtscQ.zh-CN.vtt 2.4 KB
- Part 03-Module 01-Lesson 03_Control Flow/27. Zip and Enumerate-bSJPzVArE7M.zh-CN.vtt 2.4 KB
- Part 03-Module 01-Lesson 03_Control Flow/07. Complex Boolean Expressions-gWmIKWgzFqI.en.vtt 2.4 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/11. L4 111 Faceting V2-oUYRqI6wFGw.en.vtt 2.3 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/01. Introduction-4F7SC0C6tfQ.en.vtt 2.3 KB
- Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/02. L3 02 Proced Vs OOP V1 V3-psXD_J8FnCQ.en.vtt 2.3 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/12. Other Activation Functions-kA-1vUt6cvQ.zh-CN.vtt 2.3 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/10. Ud206 013 Shell P8 - Viewing Files-hPPVMKqbQV0.ar.vtt 2.3 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/03. SVM 03 Error Function V1-l-ahImxoi-U.zh-CN.vtt 2.3 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/21. L2 07 Lists And Membership Operators II V3-3Nj-b-ZzqH8.pt-BR.vtt 2.3 KB
- Part 13-Module 01-Lesson 04_Decision Trees/05. Student Admissions-TdgBi6LtOB8.zh-CN.vtt 2.3 KB
- Part 03-Module 01-Lesson 03_Control Flow/02. If Statements-jWiIUMrwPqA.zh-CN.vtt 2.3 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/08. Ud206 009 Shell P6 - Organizing Your Files-NZsYyzzpJXA.en.vtt 2.3 KB
- Part 13-Module 01-Lesson 04_Decision Trees/05. Student Admissions-TdgBi6LtOB8.pt-BR.vtt 2.3 KB
- Part 03-Module 01-Lesson 05_Scripting/13. Handling Error Specifying Exceptions-EHW5I7shdJg.pt-BR.vtt 2.3 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/04. L4 041 Heat Maps V4-RyCdvsmBjtE.pt-BR.vtt 2.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. DL 18 S Softmax-n8S-v_LCTms.zh-CN.vtt 2.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz Cross Entropy-njq6bYrPqSU.en.vtt 2.3 KB
- Part 05-Module 01-Lesson 02_Vectors/02. Vectors 2-R7WiQYixvRQ.zh-CN.vtt 2.3 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/12. Data Vis L4 C12 V2-aJncRqqJUYI.pt-BR.vtt 2.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz Cross Entropy-njq6bYrPqSU.pt-BR.vtt 2.3 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/12. Data Vis L4 C12 V2-aJncRqqJUYI.en.vtt 2.3 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/02. L1 - Remote Repos Intro-AnSlYftJnwA.en.vtt 2.3 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/24. L2 05 Lists Methods V1-WXkPm4rv6ng.pt-BR.vtt 2.3 KB
- Part 11-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.pt-BR.vtt 2.3 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/09. L4 091 Clustered Bar Charts V4-0rFp55TtEJM.pt-BR.vtt 2.3 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/codecogseqn-2.png 2.3 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/03. Ud206 003 Shell P1 - Opening A Terminal-4q6Vtym-nno.zh-CN.vtt 2.3 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.en.vtt 2.3 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/28. L2 03 Sets V2-eIHNFgTFfnA.en.vtt 2.3 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/02. L1 - Remote Repos Intro-AnSlYftJnwA.pt-BR.vtt 2.2 KB
- Part 03-Module 01-Lesson 05_Scripting/02. Python Installation-2_P05aYChqQ.ar.vtt 2.2 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/17. One-Hot Encoding-AePvjhyvsBo.en.vtt 2.2 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/03. L1 - New Repo Git Commands On GitHub-myuGLZLYpYY.en.vtt 2.2 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/15. Ud206 020 Shell P13 Controlling The Shell Prompt ($PS1)-nnqvRZ-Fx3k.pt-BR.vtt 2.2 KB
- Part 03-Module 01-Lesson 05_Scripting/05. Running A Python Script-vMKemwCderg.en.vtt 2.2 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/04. L4 041 Heat Maps V4-RyCdvsmBjtE.en.vtt 2.2 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/05. Ud206 006 Shell P3 - Navigating Directories-i9Xp94DmdB8.en.vtt 2.2 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/12. L4 121 Adaptations Of Univariate Plots V3-MXcqplnUB0o.en.vtt 2.2 KB
- Part 13-Module 01-Lesson 05_Naive Bayes/03. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.pt-BR.vtt 2.2 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/02. L3 - Pull Request In Theory-twLr9ndsf90.en.vtt 2.2 KB
- Part 11-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.en.vtt 2.2 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/15. Momentum-r-rYz_PEWC8.zh-CN.vtt 2.2 KB
- Part 13-Module 01-Lesson 05_Naive Bayes/03. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.zh-CN.vtt 2.2 KB
- Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files-w-ZG6DMkVi4.zh-CN.vtt 2.2 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/25. Gradient Descent Algorithm-snxmBgi_GeU.zh-CN.vtt 2.2 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/backprop-general.gif 2.2 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/05. L2 04b Variables II V3-4IJqbP8vi6A.zh-CN.vtt 2.2 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.pt-BR.vtt 2.2 KB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.ar.vtt 2.2 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/16. Ud206 021 Shell P14 Aliases-kINmpgXxayM.pt-BR.vtt 2.2 KB
- Part 03-Module 01-Lesson 04_Functions/11. L4 08 Lambda Expressions V3-wkEmPz1peJM.en.vtt 2.2 KB
- Part 01-Module 02-Lesson 01_Programming with Python/03. L1 02 استعراض البرنامج التدريبي V4-vFxXSIV5cHM.zh-CN.vtt 2.2 KB
- Part 03-Module 01-Lesson 01_Why Python Programming/04. L1 02 Course Overview V4-vFxXSIV5cHM.zh-CN.vtt 2.2 KB
- Part 11-Module 01-Lesson 01_What is Version Control/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 11 Google Docs Revision History Walkthrough-GcvvbdKEchk.ar.vtt 2.2 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 03 Tagging Overview-D4VdXT72ASE.ar.vtt 2.2 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/08. Ud206 009 Shell P6 - Organizing Your Files-NZsYyzzpJXA.zh-CN.vtt 2.2 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/02. Forking a Repository - What Is Forking-z4mkVwqVztc.ar.vtt 2.2 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/24. L2 05 Lists Methods V1-WXkPm4rv6ng.en.vtt 2.2 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.ar.vtt 2.1 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/28. L2 03 Sets V2-eIHNFgTFfnA.zh-CN.vtt 2.1 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/07. Backpropagation-MZL97-2joxQ.zh-CN.vtt 2.1 KB
- Part 03-Module 01-Lesson 05_Scripting/23. Techniques For Importing Modules Part II-aASigWQ_XU0.pt-BR.vtt 2.1 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/16. Python Looping With For Loops-8XmmUg1qdJE.en.vtt 2.1 KB
- Part 03-Module 01-Lesson 05_Scripting/05. Running A Python Script-vMKemwCderg.zh-CN.vtt 2.1 KB
- Part 03-Module 01-Lesson 03_Control Flow/07. Complex Boolean Expressions-gWmIKWgzFqI.zh-CN.vtt 2.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/15. L4 151 Lesson Summary V1-5igqM44KEmw.en.vtt 2.1 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/08. Python Finding Errors Solution-mmlAuiQKAFI.zh-CN.vtt 2.1 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/14. L3 071 Pie Charts V3-kSrJGJHTKV8.zh-CN.vtt 2.1 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/22. L3 141 Lesson Summary V1-7ZaSMbsJUWU.pt-BR.vtt 2.1 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/01. Introduction-4F7SC0C6tfQ.zh-CN.vtt 2.1 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt 2.1 KB
- Part 01-Module 04-Lesson 01_Neural Networks/07. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt 2.1 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt 2.1 KB
- Part 03-Module 01-Lesson 05_Scripting/02. Python Installation-2_P05aYChqQ.pt-BR.vtt 2.1 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/07. Python Moving And Turning-_APxiaRZg_0.en.vtt 2.1 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/05. Ud206 006 Shell P3 - Navigating Directories-i9Xp94DmdB8.pt-BR.vtt 2.1 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/03. Ud206 003 Shell P1 - Opening A Terminal-4q6Vtym-nno.pt-BR.vtt 2.1 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/06. Ud206 007 Shell P4 - Current Working Directory-X7dsy3oMHp0.en.vtt 2.1 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/03. L1 - New Repo Git Commands On GitHub-myuGLZLYpYY.zh-CN.vtt 2.1 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/06. L4 061 Violin Plots 2 V3-0hr61L-LZyM.en.vtt 2.1 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/26. L2 04 Tuples V3-33xN-AbTMoc.zh-CN.vtt 2.1 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/05. Variables-7pxpUot4x0w.en.vtt 2.1 KB
- Part 03-Module 01-Lesson 03_Control Flow/07. Truth Value Testing-e52uw7ejV8k.pt-BR.vtt 2.1 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/06. L1 - Fetch Merge And Push-jwyQUfE1Eqw.ar.vtt 2.1 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/codecogseqn-49.gif 2.1 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/sigmoid-derivative.gif 2.1 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/02. L3 - Pull Request In Theory-twLr9ndsf90.zh-CN.vtt 2.1 KB
- Part 11-Module 01-Lesson 01_What is Version Control/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.pt-BR.vtt 2.1 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/05. Assignment Operators-p_qfzL-x3Cs.pt-BR.vtt 2.1 KB
- Part 01-Module 04-Lesson 01_Neural Networks/07. Multiclass Classification-uNTtvxwfox0.en.vtt 2.1 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Multiclass Classification-uNTtvxwfox0.en.vtt 2.1 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/15. L3 081 Histograms V2-RLez9L0htGQ.pt-BR.vtt 2.1 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/01. Python Welcome To Python Programming-_XOoHSQIkkw.en.vtt 2.1 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz Cross Entropy-njq6bYrPqSU.zh-CN.vtt 2.1 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/08. Ud206 009 Shell P6 - Organizing Your Files-NZsYyzzpJXA.pt-BR.vtt 2.1 KB
- Part 03-Module 01-Lesson 04_Functions/02. Default Arguments-cG6UfBZX2KI.en.vtt 2.1 KB
- Part 03-Module 01-Lesson 05_Scripting/13. Handling Error Specifying Exceptions-EHW5I7shdJg.en.vtt 2.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/17. One-Hot Encoding-AePvjhyvsBo.pt-BR.vtt 2.0 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/06. AIPND Linear Algebra Vectors Lab Solution1 v1-xk-JNxMzlsQ.pt-BR.vtt 2.0 KB
- Part 05-Module 02-Lesson 01_Vectors Lab/02. AIPND Linear Algebra Vectors Lab Solution1 v1-xk-JNxMzlsQ.pt-BR.vtt 2.0 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/03. L1 - New Repo Git Commands On GitHub-myuGLZLYpYY.pt-BR.vtt 2.0 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/06. Ud206 007 Shell P4 - Current Working Directory-X7dsy3oMHp0.pt-BR.vtt 2.0 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/11. Ud206 014 Shell P9 - Removing Things-it19PvJarbk.ar.vtt 2.0 KB
- Part 03-Module 01-Lesson 05_Scripting/23. Techniques For Importing Modules Part II-aASigWQ_XU0.en.vtt 2.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/17. One-Hot Encoding-AePvjhyvsBo.zh-CN.vtt 2.0 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/09. L4 091 Clustered Bar Charts V4-0rFp55TtEJM.en.vtt 2.0 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/07. Data Vis L4 C07 V1-f6v3L3IDo24.pt-BR.vtt 2.0 KB
- Part 13-Module 01-Lesson 01_Intro/01. Introduction-bYeteZQrUcE.zh-CN.vtt 2.0 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/img/red-orange-yellow-lines.png 2.0 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/05. Ud206 006 Shell P3 - Navigating Directories-i9Xp94DmdB8.zh-CN.vtt 2.0 KB
- Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Using With-OQ-Y0mMjm00.pt-BR.vtt 2.0 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/11. L4 111 Faceting V2-oUYRqI6wFGw.zh-CN.vtt 2.0 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.en.vtt 2.0 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/06. L4 061 Violin Plots 2 V3-0hr61L-LZyM.zh-CN.vtt 2.0 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/06. L4 061 Violin Plots 2 V3-0hr61L-LZyM.pt-BR.vtt 2.0 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/03. Testing-EeBZpb-PSac.zh-CN.vtt 2.0 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/04. Ud206 004 Shell P2 - Your First Command-ggf5WhOYy1U.pt-BR.vtt 2.0 KB
- Part 11-Module 01-Lesson 01_What is Version Control/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.en.vtt 2.0 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/02. L1 - Remote Repos Intro-AnSlYftJnwA.zh-CN.vtt 2.0 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/04. L4 041 Heat Maps V4-RyCdvsmBjtE.zh-CN.vtt 2.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt 2.0 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/13. L4 131 Line Plots V1-kSntEWPuOa0.en.vtt 2.0 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/12. L4 121 Adaptations Of Univariate Plots V3-MXcqplnUB0o.zh-CN.vtt 2.0 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/07. Ud206 008 Shell P5 - Parameters-UX9mzq11Mmg.ar.vtt 2.0 KB
- Part 03-Module 01-Lesson 05_Scripting/13. Handling Error Specifying Exceptions-EHW5I7shdJg.zh-CN.vtt 1.9 KB
- Part 03-Module 01-Lesson 04_Functions/11. L4 08 Lambda Expressions V3-wkEmPz1peJM.zh-CN.vtt 1.9 KB
- Part 11-Module 01-Lesson 02_Create A Git Repo/01. Creating New Repositories - Intro-KT163BkqIeg.pt-BR.vtt 1.9 KB
- Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.zh-CN.vtt 1.9 KB
- Part 11-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.zh-CN.vtt 1.9 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/24. L2 05 Lists Methods V1-WXkPm4rv6ng.zh-CN.vtt 1.9 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/04. L3 011 Intro V3-4BpAF4MYKm8.pt-BR.vtt 1.9 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/12. Data Vis L4 C12 V2-aJncRqqJUYI.zh-CN.vtt 1.9 KB
- Part 05-Module 02-Lesson 03_Linear Mapping Lab/04. AIPND Linear Algebra Plotting a Transformed Vector v3-lmF-V8emukA.pt-BR.vtt 1.9 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/07. Python Moving And Turning-_APxiaRZg_0.zh-CN.vtt 1.9 KB
- Part 13-Module 01-Lesson 08_Outro/01. Conclusion-hJEuaOUu2yA.pt-BR.vtt 1.9 KB
- Part 11-Module 01-Lesson 01_What is Version Control/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.zh-CN.vtt 1.9 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/06. Ud206 007 Shell P4 - Current Working Directory-X7dsy3oMHp0.zh-CN.vtt 1.9 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/01. Undoing Changes - Intro-Kfi7l41wUVc.en.vtt 1.9 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/15. L4 151 Lesson Summary V1-5igqM44KEmw.zh-CN.vtt 1.9 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/07. Data Vis L4 C07 V1-f6v3L3IDo24.en.vtt 1.8 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/16. Python Looping With For Loops-8XmmUg1qdJE.zh-CN.vtt 1.8 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/03. Python Walking Through The Code-nBj8D_meKsA.pt-BR.vtt 1.8 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.zh-CN.vtt 1.8 KB
- Part 13-Module 01-Lesson 08_Outro/01. Conclusion-hJEuaOUu2yA.en.vtt 1.8 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/01. Python Welcome To Python Programming-_XOoHSQIkkw.zh-CN.vtt 1.8 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/15. L3 081 Histograms V2-RLez9L0htGQ.en.vtt 1.8 KB
- Part 01-Module 04-Lesson 01_Neural Networks/07. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt 1.8 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt 1.8 KB
- Part 11-Module 01-Lesson 02_Create A Git Repo/01. Creating New Repositories - Intro-KT163BkqIeg.en.vtt 1.8 KB
- Part 03-Module 01-Lesson 04_Functions/02. Default Arguments-cG6UfBZX2KI.zh-CN.vtt 1.8 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/01. Tagging, Branching, And Merging - Intro-sMf_r4_z-Ls.en.vtt 1.8 KB
- Part 13-Module 01-Lesson 04_Decision Trees/04. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.en.vtt 1.8 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 71 Merging-gQiWicrreJg.en.vtt 1.8 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/06. AIPND Linear Algebra Vectors Lab Solution1 v1-xk-JNxMzlsQ.en.vtt 1.8 KB
- Part 05-Module 02-Lesson 01_Vectors Lab/02. AIPND Linear Algebra Vectors Lab Solution1 v1-xk-JNxMzlsQ.en.vtt 1.8 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/05. Assignment Operators-p_qfzL-x3Cs.en.vtt 1.8 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/05. Variables-7pxpUot4x0w.zh-CN.vtt 1.8 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/22. L3 141 Lesson Summary V1-7ZaSMbsJUWU.en.vtt 1.8 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/01. Undoing Changes - Intro-Kfi7l41wUVc.zh-CN.vtt 1.8 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/08. Python Finding Errors-h0fOdBumbbk.pt-BR.vtt 1.8 KB
- Part 11-Module 01-Lesson 01_What is Version Control/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 11 Google Docs Revision History Walkthrough-GcvvbdKEchk.pt-BR.vtt 1.8 KB
- Part 03-Module 01-Lesson 03_Control Flow/07. Truth Value Testing-e52uw7ejV8k.en.vtt 1.8 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.pt-BR.vtt 1.8 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.pt-BR.vtt 1.8 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/12. Non-Linear Regions-B8UrWnHh1Wc.en.vtt 1.8 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/03. Python Walking Through The Code-nBj8D_meKsA.en.vtt 1.8 KB
- Part 03-Module 01-Lesson 05_Scripting/02. Python Installation-2_P05aYChqQ.en.vtt 1.8 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/02. Forking a Repository - What Is Forking-z4mkVwqVztc.pt-BR.vtt 1.8 KB
- Part 01-Module 04-Lesson 01_Neural Networks/03. Classification Example-46PywnGa_cQ.en.vtt 1.8 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/04. Classification Example-46PywnGa_cQ.en.vtt 1.8 KB
- Part 13-Module 01-Lesson 03_Logistic Regression/02. Classification Example-46PywnGa_cQ.en.vtt 1.8 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/hidden-layer-weights.gif 1.7 KB
- Part 03-Module 01-Lesson 05_Scripting/23. Techniques For Importing Modules Part II-aASigWQ_XU0.zh-CN.vtt 1.7 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/09. L4 091 Clustered Bar Charts V4-0rFp55TtEJM.zh-CN.vtt 1.7 KB
- Part 13-Module 01-Lesson 08_Outro/01. Conclusion-hJEuaOUu2yA.zh-CN.vtt 1.7 KB
- Part 03-Module 01-Lesson 04_Functions/01. Introduction-p5L4rTV1Pgk.ar.vtt 1.7 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/08. Python Finding Errors-h0fOdBumbbk.en.vtt 1.7 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. Chain Rule-YAhIBOnbt54.pt-BR.vtt 1.7 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/02. Forking a Repository - What Is Forking-z4mkVwqVztc.zh-CN.vtt 1.7 KB
- Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Using With-OQ-Y0mMjm00.en.vtt 1.7 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/04. L3 011 Intro V3-4BpAF4MYKm8.en.vtt 1.7 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/13. L4 131 Line Plots V1-kSntEWPuOa0.zh-CN.vtt 1.7 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/02. Forking a Repository - What Is Forking-z4mkVwqVztc.en.vtt 1.7 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/01. Undoing Changes - Intro-Kfi7l41wUVc.pt-BR.vtt 1.7 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/06. Multilayer perceptrons-Rs9petvTBLk.pt-BR.vtt 1.7 KB
- Part 01-Module 02-Lesson 01_Programming with Python/02. L1 03 البرمجة باستخدام لغة Python V4-O1cTNYAjeeg.ar.vtt 1.7 KB
- Part 03-Module 01-Lesson 01_Why Python Programming/03. L1 03 Programming In Python V4-O1cTNYAjeeg.ar.vtt 1.7 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.en.vtt 1.7 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/10. Ud206 013 Shell P8 - Viewing Files-hPPVMKqbQV0.en.vtt 1.7 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 71 Merging-gQiWicrreJg.zh-CN.vtt 1.7 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt 1.7 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/07. Ud206 008 Shell P5 - Parameters-UX9mzq11Mmg.en.vtt 1.7 KB
- Part 13-Module 01-Lesson 04_Decision Trees/01. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.pt-BR.vtt 1.7 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/backprop-weight-update.gif 1.7 KB
- Part 11-Module 01-Lesson 02_Create A Git Repo/01. Creating New Repositories - Intro-KT163BkqIeg.zh-CN.vtt 1.7 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/06. Course Wrap Up-66Ut8Bv6kgc.ar.vtt 1.7 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 71 Merging-gQiWicrreJg.pt-BR.vtt 1.7 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing Introduction-mRbeT2XVL9w.ar.vtt 1.7 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.pt-BR.vtt 1.7 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 03 Tagging Overview-D4VdXT72ASE.en.vtt 1.7 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/11. L3 041 Absolute V Relative Frequency V5-FpnZ7dH4FqU.pt-BR.vtt 1.7 KB
- Part 13-Module 01-Lesson 04_Decision Trees/01. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.en.vtt 1.7 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/06. Multilayer perceptrons-Rs9petvTBLk.en-US.vtt 1.6 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. Chain Rule-YAhIBOnbt54.en.vtt 1.6 KB
- Part 01-Module 04-Lesson 01_Neural Networks/03. Classification Example-46PywnGa_cQ.zh-CN.vtt 1.6 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/04. Classification Example-46PywnGa_cQ.zh-CN.vtt 1.6 KB
- Part 13-Module 01-Lesson 03_Logistic Regression/02. Classification Example-46PywnGa_cQ.zh-CN.vtt 1.6 KB
- Part 13-Module 01-Lesson 04_Decision Trees/04. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.zh-CN.vtt 1.6 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/18. Maximum Likelihood 1-1yJx-QtlvNI.en.vtt 1.6 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/10. Ud206 013 Shell P8 - Viewing Files-hPPVMKqbQV0.pt-BR.vtt 1.6 KB
- Part 03-Module 01-Lesson 05_Scripting/02. Python Installation-2_P05aYChqQ.zh-CN.vtt 1.6 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/28. Python Rainbow Turtle Walkthrough, Part 2-uIg5-eaaqGs.en.vtt 1.6 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/01. L4 011 Intro V2-JzvJIWG8Rk4.pt-BR.vtt 1.6 KB
- Part 11-Module 01-Lesson 01_What is Version Control/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 11 Google Docs Revision History Walkthrough-GcvvbdKEchk.en.vtt 1.6 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/06. AIPND Linear Algebra Vectors Lab Solution2 v1-UJGRYNl2ZFo.pt-BR.vtt 1.6 KB
- Part 05-Module 02-Lesson 01_Vectors Lab/02. AIPND Linear Algebra Vectors Lab Solution2 v1-UJGRYNl2ZFo.pt-BR.vtt 1.6 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/01. Tagging, Branching, And Merging - Intro-sMf_r4_z-Ls.zh-CN.vtt 1.6 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/06. AIPND Linear Algebra Vectors Lab Solution1 v1-xk-JNxMzlsQ.zh-CN.vtt 1.6 KB
- Part 05-Module 02-Lesson 01_Vectors Lab/02. AIPND Linear Algebra Vectors Lab Solution1 v1-xk-JNxMzlsQ.zh-CN.vtt 1.6 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.en.vtt 1.6 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/18. Maximum Likelihood 1-1yJx-QtlvNI.pt-BR.vtt 1.6 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/02. Gradient Descent-29PmNG7fuuM.en.vtt 1.6 KB
- Part 03-Module 01-Lesson 03_Control Flow/07. Truth Value Testing-e52uw7ejV8k.zh-CN.vtt 1.6 KB
- Part 01-Module 04-Lesson 01_Neural Networks/03. Classification Example-46PywnGa_cQ.pt-BR.vtt 1.6 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/04. Classification Example-46PywnGa_cQ.pt-BR.vtt 1.6 KB
- Part 13-Module 01-Lesson 03_Logistic Regression/02. Classification Example-46PywnGa_cQ.pt-BR.vtt 1.6 KB
- Part 03-Module 01-Lesson 04_Functions/05. Variable Scope-rYubQlAM-gw.ar.vtt 1.6 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/28. Python Rainbow Turtle Walkthrough, Part 2-uIg5-eaaqGs.pt-BR.vtt 1.6 KB
- Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Using With-OQ-Y0mMjm00.zh-CN.vtt 1.6 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.en.vtt 1.6 KB
- Part 13-Module 01-Lesson 04_Decision Trees/04. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.pt-BR.vtt 1.6 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/11. Ud206 014 Shell P9 - Removing Things-it19PvJarbk.en.vtt 1.6 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/05. Assignment Operators-p_qfzL-x3Cs.zh-CN.vtt 1.6 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/07. Data Vis L4 C07 V1-f6v3L3IDo24.zh-CN.vtt 1.6 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 03 Tagging Overview-D4VdXT72ASE.zh-CN.vtt 1.6 KB
- Part 13-Module 01-Lesson 05_Naive Bayes/04. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.pt-BR.vtt 1.6 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/07. Ud206 008 Shell P5 - Parameters-UX9mzq11Mmg.zh-CN.vtt 1.6 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/34. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.pt-BR.vtt 1.6 KB
- Part 13-Module 01-Lesson 05_Naive Bayes/04. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.en.vtt 1.6 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/01. Tagging, Branching, And Merging - Intro-sMf_r4_z-Ls.pt-BR.vtt 1.6 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/07. Ud206 008 Shell P5 - Parameters-UX9mzq11Mmg.pt-BR.vtt 1.6 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/03. Python Walking Through The Code-nBj8D_meKsA.zh-CN.vtt 1.6 KB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.ar.vtt 1.6 KB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.pt-BR.vtt 1.6 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/12. Non-Linear Regions-B8UrWnHh1Wc.zh-CN.vtt 1.6 KB
- Part 13-Module 01-Lesson 04_Decision Trees/02. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.en.vtt 1.6 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/11. Vanishing Gradient-W_JJm_5syFw.pt-BR.vtt 1.6 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/10. Ud206 013 Shell P8 - Viewing Files-hPPVMKqbQV0.zh-CN.vtt 1.6 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/01. L4 011 Intro V2-JzvJIWG8Rk4.en.vtt 1.5 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/07. Outro-5eyvsMvAPYs.ar.vtt 1.5 KB
- Part 05-Module 02-Lesson 03_Linear Mapping Lab/04. AIPND Linear Algebra Currency Conversion Problem v2-wmHk5cL5NJA.pt-BR.vtt 1.5 KB
- Part 03-Module 01-Lesson 04_Functions/05. Variable Scope-rYubQlAM-gw.pt-BR.vtt 1.5 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 03 Tagging Overview-D4VdXT72ASE.pt-BR.vtt 1.5 KB
- Part 03-Module 01-Lesson 03_Control Flow/02. Indentation-G8qUNOTHtrM.ar.vtt 1.5 KB
- Part 13-Module 01-Lesson 04_Decision Trees/01. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.zh-CN.vtt 1.5 KB
- Part 05-Module 02-Lesson 03_Linear Mapping Lab/04. AIPND Linear Algebra Plotting a Transformed Vector v3-lmF-V8emukA.en.vtt 1.5 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/15. L3 081 Histograms V2-RLez9L0htGQ.zh-CN.vtt 1.5 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/17. Ud206 022 Shell Workshop Outro-68twTPXPrx0.ar.vtt 1.5 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/02. Gradient Descent-29PmNG7fuuM.pt-BR.vtt 1.5 KB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.en.vtt 1.5 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/05. L1 - Git Pull In Theory-MjNU2LTDVAA.ar.vtt 1.5 KB
- Part 03-Module 01-Lesson 04_Functions/01. Introduction-p5L4rTV1Pgk.pt-BR.vtt 1.5 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/06. L1 - Fetch Merge And Push-jwyQUfE1Eqw.en.vtt 1.5 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/12. Non-Linear Regions-B8UrWnHh1Wc.pt-BR.vtt 1.5 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/06. L1 - Fetch Merge And Push-jwyQUfE1Eqw.pt-BR.vtt 1.5 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/06. AIPND Linear Algebra Vectors Lab Solution2 v1-UJGRYNl2ZFo.en.vtt 1.5 KB
- Part 05-Module 02-Lesson 01_Vectors Lab/02. AIPND Linear Algebra Vectors Lab Solution2 v1-UJGRYNl2ZFo.en.vtt 1.5 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.zh-CN.vtt 1.5 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/22. L3 141 Lesson Summary V1-7ZaSMbsJUWU.zh-CN.vtt 1.5 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/08. Python Finding Errors-h0fOdBumbbk.zh-CN.vtt 1.5 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.zh-CN.vtt 1.5 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/11. Ud206 014 Shell P9 - Removing Things-it19PvJarbk.zh-CN.vtt 1.5 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/07. A Repository's History - Outro-9rUf2HbdAd8.ar.vtt 1.5 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.ar.vtt 1.5 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.zh-CN.vtt 1.5 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/11. Vanishing Gradient-W_JJm_5syFw.en.vtt 1.5 KB
- Part 13-Module 01-Lesson 02_Linear Regression/01. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.pt-BR.vtt 1.5 KB
- Part 13-Module 01-Lesson 04_Decision Trees/02. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.pt-BR.vtt 1.5 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/02. PROJECT INTRO MAIN V2---9IFCNBM6Y.pt-BR.vtt 1.5 KB
- Part 11-Module 01-Lesson 01_What is Version Control/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 11 Google Docs Revision History Walkthrough-GcvvbdKEchk.zh-CN.vtt 1.5 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/04. L3 011 Intro V3-4BpAF4MYKm8.zh-CN.vtt 1.4 KB
- Part 11-Module 01-Lesson 01_What is Version Control/06. Onward-iXbMaTwfIJI.ar.vtt 1.4 KB
- Part 05-Module 02-Lesson 03_Linear Mapping Lab/04. AIPND Linear Algebra Currency Conversion Problem v2-wmHk5cL5NJA.en.vtt 1.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/18. Maximum Likelihood 1-1yJx-QtlvNI.zh-CN.vtt 1.4 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/06. L1 - Fetch Merge And Push-jwyQUfE1Eqw.zh-CN.vtt 1.4 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/07. Outro-ot4fPX1jzOI.ar.vtt 1.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.pt-BR.vtt 1.4 KB
- Part 13-Module 01-Lesson 02_Linear Regression/03. Fitting A Line-gkdoknEEcaI.pt-BR.vtt 1.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. Chain Rule-YAhIBOnbt54.zh-CN.vtt 1.4 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/01. Intro-j5RmK0UHOTY.ar.vtt 1.4 KB
- Part 03-Module 01-Lesson 03_Control Flow/01. Introduction-eUrvACMMJ5w.ar.vtt 1.4 KB
- Part 13-Module 01-Lesson 02_Linear Regression/03. Fitting A Line-gkdoknEEcaI.en.vtt 1.4 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/02. Gradient Descent-29PmNG7fuuM.zh-CN.vtt 1.4 KB
- Part 13-Module 01-Lesson 04_Decision Trees/02. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.zh-CN.vtt 1.4 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/28. Python Rainbow Turtle Walkthrough, Part 2-uIg5-eaaqGs.zh-CN.vtt 1.4 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/02. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.en.vtt 1.4 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/11. L3 041 Absolute V Relative Frequency V5-FpnZ7dH4FqU.en.vtt 1.4 KB
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/01. L4 011 Intro V2-JzvJIWG8Rk4.zh-CN.vtt 1.4 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/07. Outro-5eyvsMvAPYs.pt-BR.vtt 1.4 KB
- Part 01-Module 02-Lesson 01_Programming with Python/02. L1 03 البرمجة باستخدام لغة Python V4-O1cTNYAjeeg.pt-BR.vtt 1.4 KB
- Part 03-Module 01-Lesson 01_Why Python Programming/03. L1 03 Programming In Python V4-O1cTNYAjeeg.pt-BR.vtt 1.4 KB
- Part 07-Module 01-Lesson 02_Implementing Gradient Descent/06. Multilayer perceptrons-Rs9petvTBLk.zh-CN.vtt 1.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/31. Non-Linear Models-HWuBKCZsCo8.pt-BR.vtt 1.4 KB
- Part 03-Module 01-Lesson 04_Functions/01. Introduction-p5L4rTV1Pgk.en.vtt 1.4 KB
- Part 01-Module 04-Lesson 01_Neural Networks/04. Why Neural Networks-zAkzOZntK6Y.en.vtt 1.4 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/08. Why Neural Networks-zAkzOZntK6Y.en.vtt 1.4 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/19. DataVis L3 11 V1-C8DGwJa_adA.en.vtt 1.4 KB
- Part 05-Module 02-Lesson 03_Linear Mapping Lab/04. AIPND Linear Algebra Matrix Multiplication v2-TavNlmrIuwI.pt-BR.vtt 1.4 KB
- Part 13-Module 01-Lesson 02_Linear Regression/01. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.en.vtt 1.4 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/19. DataVis L3 11 V1-C8DGwJa_adA.pt-BR.vtt 1.4 KB
- Part 01-Module 03-Lesson 01_Fun With Linear Algebra/06. AIPND Linear Algebra Vectors Lab Solution2 v1-UJGRYNl2ZFo.zh-CN.vtt 1.4 KB
- Part 05-Module 02-Lesson 01_Vectors Lab/02. AIPND Linear Algebra Vectors Lab Solution2 v1-UJGRYNl2ZFo.zh-CN.vtt 1.4 KB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.zh-CN.vtt 1.4 KB
- Part 13-Module 01-Lesson 05_Naive Bayes/04. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.zh-CN.vtt 1.3 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/11. Ud206 014 Shell P9 - Removing Things-it19PvJarbk.pt-BR.vtt 1.3 KB
- [FTU Forum].url 1.3 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/06. Course Wrap Up-66Ut8Bv6kgc.en.vtt 1.3 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing Introduction-mRbeT2XVL9w.en.vtt 1.3 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing Introduction-mRbeT2XVL9w.pt-BR.vtt 1.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/29. Continuous Perceptrons-07-JJ-aGEfM.en.vtt 1.3 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/07. Outro-5eyvsMvAPYs.en.vtt 1.3 KB
- Part 05-Module 02-Lesson 03_Linear Mapping Lab/04. AIPND Linear Algebra Plotting a Transformed Vector v3-lmF-V8emukA.zh-CN.vtt 1.3 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/02. PROJECT INTRO MAIN V2---9IFCNBM6Y.en.vtt 1.3 KB
- Part 03-Module 01-Lesson 03_Control Flow/02. Indentation-G8qUNOTHtrM.pt-BR.vtt 1.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/29. Continuous Perceptrons-07-JJ-aGEfM.pt-BR.vtt 1.3 KB
- Part 11-Module 01-Lesson 06_Undoing Changes/06. Course Outro-twn_cheqoK8.ar.vtt 1.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/31. Non-Linear Models-HWuBKCZsCo8.en.vtt 1.3 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/06. Course Wrap Up-66Ut8Bv6kgc.pt-BR.vtt 1.3 KB
- Part 05-Module 02-Lesson 03_Linear Mapping Lab/04. AIPND Linear Algebra Currency Conversion Problem v2-wmHk5cL5NJA.zh-CN.vtt 1.3 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/01. Intro-VkqtlJuZ9rs.ar.vtt 1.3 KB
- Part 05-Module 02-Lesson 03_Linear Mapping Lab/04. AIPND Linear Algebra Matrix Multiplication v2-TavNlmrIuwI.en.vtt 1.3 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7.1 - Downloading Solution-1oEJUA-b0kE.ar.vtt 1.3 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/08. SVM 13 RBF Kernel 2 V1-ozl9UWVP0MI.en.vtt 1.3 KB
- Part 01-Module 04-Lesson 01_Neural Networks/04. Why Neural Networks-zAkzOZntK6Y.pt-BR.vtt 1.3 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/08. Why Neural Networks-zAkzOZntK6Y.pt-BR.vtt 1.3 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.ar.vtt 1.3 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/02. L1 - Sending Branches To Remote-414f0ukhOTY.ar.vtt 1.3 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/14. Learning Rate-TwJ8aSZoh2U.pt-BR.vtt 1.3 KB
- Part 13-Module 01-Lesson 02_Linear Regression/01. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.zh-CN.vtt 1.3 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/07. Outro-5eyvsMvAPYs.zh-CN.vtt 1.3 KB
- Part 03-Module 01-Lesson 04_Functions/01. Introduction-p5L4rTV1Pgk.zh-CN.vtt 1.2 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/06. Pull Vs Fetch-kxXdk2HcOBo.ar.vtt 1.2 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/34. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.en.vtt 1.2 KB
- Part 03-Module 01-Lesson 04_Functions/05. Variable Scope-rYubQlAM-gw.en.vtt 1.2 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/11. Vanishing Gradient-W_JJm_5syFw.zh-CN.vtt 1.2 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/19. DataVis L3 11 V1-C8DGwJa_adA.zh-CN.vtt 1.2 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.pt-BR.vtt 1.2 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/01. Intro-VkqtlJuZ9rs.pt-BR.vtt 1.2 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/07. Outro-ot4fPX1jzOI.en.vtt 1.2 KB
- Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/02. PROJECT INTRO MAIN V2---9IFCNBM6Y.zh-CN.vtt 1.2 KB
- Part 01-Module 04-Lesson 01_Neural Networks/04. Why Neural Networks-zAkzOZntK6Y.zh-CN.vtt 1.2 KB
- Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/11. L3 041 Absolute V Relative Frequency V5-FpnZ7dH4FqU.zh-CN.vtt 1.2 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/08. Why Neural Networks-zAkzOZntK6Y.zh-CN.vtt 1.2 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing Introduction-mRbeT2XVL9w.zh-CN.vtt 1.2 KB
- Part 01-Module 02-Lesson 01_Programming with Python/02. L1 03 البرمجة باستخدام لغة Python V4-O1cTNYAjeeg.en.vtt 1.2 KB
- Part 03-Module 01-Lesson 01_Why Python Programming/03. L1 03 Programming In Python V4-O1cTNYAjeeg.en.vtt 1.2 KB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.pt-BR.vtt 1.2 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.en.vtt 1.2 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/06. Course Wrap Up-66Ut8Bv6kgc.zh-CN.vtt 1.2 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/17. Ud206 022 Shell Workshop Outro-68twTPXPrx0.en.vtt 1.2 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/06. DL 53 Q Regularization-KxROxcRsHL8.pt-BR.vtt 1.2 KB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.en.vtt 1.2 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/29. Continuous Perceptrons-07-JJ-aGEfM.zh-CN.vtt 1.2 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/06. DL 53 Q Regularization-KxROxcRsHL8.en.vtt 1.2 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/02. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.zh-CN.vtt 1.1 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.en.vtt 1.1 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/09. Local Minima-gF_sW_nY-xw.en.vtt 1.1 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/08. SVM 13 RBF Kernel 2 V1-ozl9UWVP0MI.pt-BR.vtt 1.1 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/08. SVM 13 RBF Kernel 2 V1-ozl9UWVP0MI.zh-CN.vtt 1.1 KB
- Part 11-Module 01-Lesson 01_What is Version Control/06. Onward-iXbMaTwfIJI.pt-BR.vtt 1.1 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/31. Non-Linear Models-HWuBKCZsCo8.zh-CN.vtt 1.1 KB
- Part 03-Module 01-Lesson 04_Functions/05. Variable Scope-rYubQlAM-gw.zh-CN.vtt 1.1 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/14. Learning Rate-TwJ8aSZoh2U.en.vtt 1.1 KB
- Part 05-Module 02-Lesson 03_Linear Mapping Lab/04. AIPND Linear Algebra Matrix Multiplication v2-TavNlmrIuwI.zh-CN.vtt 1.1 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/06. Python Walking Through The Code Part 2-qjNbBZAPOlQ.pt-BR.vtt 1.1 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/07. Outro-ot4fPX1jzOI.zh-CN.vtt 1.1 KB
- Part 01-Module 02-Lesson 01_Programming with Python/02. L1 03 البرمجة باستخدام لغة Python V4-O1cTNYAjeeg.zh-CN.vtt 1.1 KB
- Part 03-Module 01-Lesson 01_Why Python Programming/03. L1 03 Programming In Python V4-O1cTNYAjeeg.zh-CN.vtt 1.1 KB
- Part 13-Module 01-Lesson 06_Support Vector Machines/02. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.pt-BR.vtt 1.1 KB
- Part 03-Module 01-Lesson 03_Control Flow/02. Indentation-G8qUNOTHtrM.en.vtt 1.1 KB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/07. Outro-ot4fPX1jzOI.pt-BR.vtt 1.1 KB
- Part 03-Module 01-Lesson 02_Data Types and Operators/34. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.zh-CN.vtt 1.1 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.pt-BR.vtt 1.1 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.pt-BR.vtt 1.1 KB
- Part 03-Module 01-Lesson 03_Control Flow/01. Introduction-eUrvACMMJ5w.pt-BR.vtt 1.1 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/01. Intro-j5RmK0UHOTY.en.vtt 1.1 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.zh-CN.vtt 1.1 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/28. Python Rainbow Turtle-jV_0sC9BVUw.pt-BR.vtt 1.1 KB
- Part 11-Module 01-Lesson 01_What is Version Control/06. Onward-iXbMaTwfIJI.en.vtt 1.1 KB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.zh-CN.vtt 1.1 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/07. A Repository's History - Outro-9rUf2HbdAd8.pt-BR.vtt 1.1 KB
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/01. Intro-VkqtlJuZ9rs.en.vtt 1.1 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/17. Ud206 022 Shell Workshop Outro-68twTPXPrx0.zh-CN.vtt 1.1 KB
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/01. Intro-j5RmK0UHOTY.pt-BR.vtt 1.1 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/09. Local Minima-gF_sW_nY-xw.pt-BR.vtt 1.0 KB
- Part 10-Module 01-Lesson 01_Turtles and Code/06. Python Walking Through The Code Part 2-qjNbBZAPOlQ.en.vtt 1.0 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.zh-CN.vtt 1.0 KB
- Part 01-Module 02-Lesson 01_Programming with Python/01. L1 01 المقدمة V3-yyNtiUyI5Tw.ar.vtt 1.0 KB
- Part 03-Module 01-Lesson 01_Why Python Programming/02. L1 01 Intro V3-yyNtiUyI5Tw.ar.vtt 1.0 KB
- Part 12-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7.1 - Downloading Solution-1oEJUA-b0kE.en.vtt 1.0 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/06. DL 53 Q Regularization-KxROxcRsHL8.zh-CN.vtt 1.0 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/07. A Repository's History - Outro-9rUf2HbdAd8.en.vtt 1.0 KB
- Part 07-Module 01-Lesson 03_Training Neural Networks/09. Local Minima-gF_sW_nY-xw.zh-CN.vtt 1.0 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/02. L1 - Sending Branches To Remote-414f0ukhOTY.en.vtt 1.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/09. XOR Perceptron-TF83GfjYLdw.en.vtt 1.0 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/05. L1 - Git Pull In Theory-MjNU2LTDVAA.en.vtt 1.0 KB
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/09. XOR Perceptron-TF83GfjYLdw.pt-BR.vtt 1.0 KB
- Part 11-Module 02-Lesson 01_Working With Remotes/05. L1 - Git Pull In Theory-MjNU2LTDVAA.pt-BR.vtt 1.0 KB
- Part 13-Module 01-Lesson 02_Linear Regression/02. Solution Housing Prices-uhdTulw9-Nc.pt-BR.vtt 1.0 KB
- Part 11-Module 01-Lesson 03_Review a Repo's History/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.en.vtt 1023 bytes
- Part 01-Module 02-Lesson 01_Programming with Python/01. L1 01 المقدمة V3-yyNtiUyI5Tw.pt-BR.vtt 1021 bytes
- Part 03-Module 01-Lesson 01_Why Python Programming/02. L1 01 Intro V3-yyNtiUyI5Tw.pt-BR.vtt 1021 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/09. XOR Perceptron-TF83GfjYLdw.zh-CN.vtt 1021 bytes
- Part 07-Module 01-Lesson 03_Training Neural Networks/14. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt 1020 bytes
- Part 11-Module 02-Lesson 01_Working With Remotes/05. L1 - Git Pull In Theory-MjNU2LTDVAA.zh-CN.vtt 1020 bytes
- Part 10-Module 01-Lesson 01_Turtles and Code/28. Python Rainbow Turtle-jV_0sC9BVUw.en.vtt 1017 bytes
- Part 11-Module 02-Lesson 01_Working With Remotes/02. L1 - Sending Branches To Remote-414f0ukhOTY.zh-CN.vtt 1017 bytes
- Part 03-Module 01-Lesson 03_Control Flow/02. Indentation-G8qUNOTHtrM.zh-CN.vtt 1007 bytes
- Part 11-Module 01-Lesson 06_Undoing Changes/06. Course Outro-twn_cheqoK8.en.vtt 998 bytes
- Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/01. Intro-j5RmK0UHOTY.zh-CN.vtt 988 bytes
- Part 11-Module 02-Lesson 01_Working With Remotes/02. L1 - Sending Branches To Remote-414f0ukhOTY.pt-BR.vtt 982 bytes
- Part 11-Module 01-Lesson 01_What is Version Control/06. Onward-iXbMaTwfIJI.zh-CN.vtt 973 bytes
- Part 10-Module 01-Lesson 01_Turtles and Code/06. Python Walking Through The Code Part 2-qjNbBZAPOlQ.zh-CN.vtt 971 bytes
- Part 10-Module 01-Lesson 01_Turtles and Code/06. Python Walking Through The Code Part 3-xh7_q1Q2Irc.pt-BR.vtt 967 bytes
- Part 11-Module 01-Lesson 02_Create A Git Repo/05. Create A Repo - Outro-h7j4STDFCjs.ar.vtt 959 bytes
- Part 03-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.ar.vtt 953 bytes
- Part 11-Module 01-Lesson 03_Review a Repo's History/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.zh-CN.vtt 948 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz - Cross 1--xxrisIvD0E.pt-BR.vtt 947 bytes
- Part 11-Module 02-Lesson 01_Working With Remotes/07. Lesson Wrap Up-6Koa4nAu-04.ar.vtt 946 bytes
- Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/01. Intro-VkqtlJuZ9rs.zh-CN.vtt 946 bytes
- Part 03-Module 01-Lesson 03_Control Flow/01. Introduction-eUrvACMMJ5w.en.vtt 944 bytes
- Part 13-Module 01-Lesson 02_Linear Regression/02. Solution Housing Prices-uhdTulw9-Nc.en.vtt 939 bytes
- Part 11-Module 02-Lesson 01_Working With Remotes/06. Pull Vs Fetch-kxXdk2HcOBo.pt-BR.vtt 938 bytes
- Part 11-Module 01-Lesson 03_Review a Repo's History/07. A Repository's History - Outro-9rUf2HbdAd8.zh-CN.vtt 933 bytes
- Part 11-Module 01-Lesson 06_Undoing Changes/06. Course Outro-twn_cheqoK8.zh-CN.vtt 928 bytes
- Part 11-Module 02-Lesson 01_Working With Remotes/04. L1 - Git Push In Theory-21TvMEtMRys.ar.vtt 927 bytes
- Part 12-Module 01-Lesson 01_Shell Workshop/17. Ud206 022 Shell Workshop Outro-68twTPXPrx0.pt-BR.vtt 920 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/codecogseqn-58.gif 919 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz - Cross 1--xxrisIvD0E.en.vtt 918 bytes
- Part 11-Module 02-Lesson 01_Working With Remotes/06. Pull Vs Fetch-kxXdk2HcOBo.en.vtt 913 bytes
- Part 11-Module 01-Lesson 06_Undoing Changes/05. Undoing Changes--_PPVk2UZMU.ar.vtt 904 bytes
- Part 11-Module 01-Lesson 06_Undoing Changes/06. Course Outro-twn_cheqoK8.pt-BR.vtt 896 bytes
- Part 11-Module 02-Lesson 01_Working With Remotes/06. Pull Vs Fetch-kxXdk2HcOBo.zh-CN.vtt 893 bytes
- Part 12-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7.1 - Downloading Solution-1oEJUA-b0kE.zh-CN.vtt 892 bytes
- Part 03-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.ar.vtt 885 bytes
- Part 07-Module 01-Lesson 03_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.pt-BR.vtt 874 bytes
- Part 10-Module 01-Lesson 01_Turtles and Code/28. Python Rainbow Turtle-jV_0sC9BVUw.zh-CN.vtt 864 bytes
- Part 03-Module 01-Lesson 03_Control Flow/01. Introduction-eUrvACMMJ5w.zh-CN.vtt 862 bytes
- Part 10-Module 01-Lesson 01_Turtles and Code/06. Python Walking Through The Code Part 3-xh7_q1Q2Irc.en.vtt 848 bytes
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l5-c03-color4.png 844 bytes
- Part 07-Module 01-Lesson 03_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.zh-CN.vtt 840 bytes
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l5-c03-color3.png 839 bytes
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.ar.vtt 837 bytes
- Part 12-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7.1 - Downloading Solution-1oEJUA-b0kE.pt-BR.vtt 830 bytes
- Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l5-c03-color5.png 826 bytes
- Part 07-Module 01-Lesson 03_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.en.vtt 824 bytes
- Part 11-Module 02-Lesson 01_Working With Remotes/07. Lesson Wrap Up-6Koa4nAu-04.pt-BR.vtt 820 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz - Cross 1--xxrisIvD0E.zh-CN.vtt 813 bytes
- Part 03-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.pt-BR.vtt 810 bytes
- Part 01-Module 02-Lesson 01_Programming with Python/01. L1 01 المقدمة V3-yyNtiUyI5Tw.en.vtt 806 bytes
- Part 03-Module 01-Lesson 01_Why Python Programming/02. L1 01 Intro V3-yyNtiUyI5Tw.en.vtt 806 bytes
- Part 01-Module 04-Lesson 01_Neural Networks/05. Error Functions-YfUUunxWIJw.pt-BR.vtt 804 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions-YfUUunxWIJw.pt-BR.vtt 804 bytes
- Part 11-Module 01-Lesson 02_Create A Git Repo/05. Create A Repo - Outro-h7j4STDFCjs.pt-BR.vtt 800 bytes
- Part 01-Module 04-Lesson 01_Neural Networks/05. Error Functions-YfUUunxWIJw.en.vtt 790 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions-YfUUunxWIJw.en.vtt 790 bytes
- Part 03-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.en.vtt 763 bytes
- Part 03-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.pt-BR.vtt 746 bytes
- Part 01-Module 02-Lesson 01_Programming with Python/01. L1 01 المقدمة V3-yyNtiUyI5Tw.zh-CN.vtt 745 bytes
- Part 03-Module 01-Lesson 01_Why Python Programming/02. L1 01 Intro V3-yyNtiUyI5Tw.zh-CN.vtt 745 bytes
- Part 01-Module 04-Lesson 01_Neural Networks/05. Error Functions-YfUUunxWIJw.zh-CN.vtt 739 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions-YfUUunxWIJw.zh-CN.vtt 739 bytes
- Part 11-Module 02-Lesson 01_Working With Remotes/07. Lesson Wrap Up-6Koa4nAu-04.en.vtt 737 bytes
- Part 03-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.zh-CN.vtt 724 bytes
- Part 11-Module 01-Lesson 02_Create A Git Repo/05. Create A Repo - Outro-h7j4STDFCjs.en.vtt 720 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.pt-BR.vtt 719 bytes
- Part 10-Module 01-Lesson 01_Turtles and Code/06. Python Walking Through The Code Part 3-xh7_q1Q2Irc.zh-CN.vtt 709 bytes
- Part 13-Module 01-Lesson 06_Support Vector Machines/01. SVM 01 Which Line Is Better V1-NCml_NCvd1I.en.vtt 701 bytes
- Part 11-Module 02-Lesson 01_Working With Remotes/07. Lesson Wrap Up-6Koa4nAu-04.zh-CN.vtt 695 bytes
- Part 03-Module 01-Lesson 03_Control Flow/33. Congrats!-vDoqpwCHxs4.ar.vtt 673 bytes
- Part 11-Module 02-Lesson 01_Working With Remotes/04. L1 - Git Push In Theory-21TvMEtMRys.pt-BR.vtt 666 bytes
- Part 11-Module 02-Lesson 01_Working With Remotes/04. L1 - Git Push In Theory-21TvMEtMRys.en.vtt 665 bytes
- Part 11-Module 01-Lesson 02_Create A Git Repo/05. Create A Repo - Outro-h7j4STDFCjs.zh-CN.vtt 664 bytes
- Part 03-Module 01-Lesson 05_Scripting/28. Conclusion-rEMrswkLvh8.ar.vtt 652 bytes
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.en.vtt 651 bytes
- Part 11-Module 01-Lesson 06_Undoing Changes/05. Undoing Changes--_PPVk2UZMU.en.vtt 651 bytes
- Part 11-Module 01-Lesson 06_Undoing Changes/05. Undoing Changes--_PPVk2UZMU.pt-BR.vtt 646 bytes
- Part 03-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.en.vtt 645 bytes
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.zh-CN.vtt 639 bytes
- Part 13-Module 01-Lesson 06_Support Vector Machines/01. SVM 01 Which Line Is Better V1-NCml_NCvd1I.pt-BR.vtt 638 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-Linear Data-F7ZiE8PQiSc.en.vtt 633 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-Linear Data-F7ZiE8PQiSc.zh-CN.vtt 624 bytes
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.pt-BR.vtt 617 bytes
- Part 11-Module 02-Lesson 01_Working With Remotes/04. L1 - Git Push In Theory-21TvMEtMRys.zh-CN.vtt 616 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.en.vtt 607 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-Linear Data-F7ZiE8PQiSc.pt-BR.vtt 600 bytes
- Part 11-Module 01-Lesson 06_Undoing Changes/05. Undoing Changes--_PPVk2UZMU.zh-CN.vtt 597 bytes
- Part 13-Module 01-Lesson 06_Support Vector Machines/01. SVM 01 Which Line Is Better V1-NCml_NCvd1I.zh-CN.vtt 588 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.pt-BR.vtt 584 bytes
- Part 03-Module 01-Lesson 03_Control Flow/33. Congrats!-vDoqpwCHxs4.pt-BR.vtt 583 bytes
- Part 03-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.zh-CN.vtt 569 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.en.vtt 551 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.zh-CN.vtt 548 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt 545 bytes
- Part 03-Module 01-Lesson 02_Data Types and Operators/37. Conclusion-LLEZadlXM8A.ar.vtt 534 bytes
- Part 03-Module 01-Lesson 05_Scripting/28. Conclusion-rEMrswkLvh8.pt-BR.vtt 508 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.pt-BR.vtt 501 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.en.vtt 495 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt 481 bytes
- Part 07-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.pt-BR.vtt 478 bytes
- Part 03-Module 01-Lesson 05_Scripting/28. Conclusion-rEMrswkLvh8.en.vtt 473 bytes
- Part 03-Module 01-Lesson 03_Control Flow/33. Congrats!-vDoqpwCHxs4.en.vtt 467 bytes
- Part 07-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.en.vtt 466 bytes
- Part 03-Module 01-Lesson 05_Scripting/28. Conclusion-rEMrswkLvh8.zh-CN.vtt 456 bytes
- Part 03-Module 01-Lesson 02_Data Types and Operators/37. Conclusion-LLEZadlXM8A.en.vtt 423 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt 420 bytes
- Part 07-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.zh-CN.vtt 419 bytes
- Part 03-Module 01-Lesson 02_Data Types and Operators/37. Conclusion-LLEZadlXM8A.pt-BR.vtt 411 bytes
- Part 03-Module 01-Lesson 03_Control Flow/33. Congrats!-vDoqpwCHxs4.zh-CN.vtt 410 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt 390 bytes
- Part 03-Module 01-Lesson 02_Data Types and Operators/37. Conclusion-LLEZadlXM8A.zh-CN.vtt 389 bytes
- Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt 364 bytes
- [FreeCoursesOnline.Me].url 133 bytes
- [FreeTutorials.Eu].url 129 bytes
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/03. Dolly Inside Head 1 -tyam5ZncjNw.pt-BR.vtt 80 bytes
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/03. Dolly Inside Head 1 -tyam5ZncjNw.zh-CN.vtt 79 bytes
- Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/03. Dolly Inside Head 1 -tyam5ZncjNw.en.vtt 75 bytes
Download Torrent
Related Resources
Copyright Infringement
If the content above is not authorized, please contact us via anywarmservice[AT]gmail.com. Remember to include the full url in your complaint.