Udacity - Data Analyst Nanodegree nd002 v8.0.0
File List
- Part 15-Module 01-Lesson 05_Interview Practice/06. Design a Spam Classifier-qRv1wrtgsmM.mp4 113.4 MB
- Part 15-Module 01-Lesson 05_Interview Practice/05. Maximum Difference in an Integer Array-i3RTW83wI1Q.mp4 107.2 MB
- Part 15-Module 02-Lesson 08_Technical Interview - Python/07. Coding-zhQYREUI8Z0.mp4 105.0 MB
- Part 15-Module 02-Lesson 08_Technical Interview - Python/08. Coding 2-qEteyPNRSwU.mp4 104.6 MB
- Part 16-Module 01-Lesson 06_Datasets and Questions/01. Introduction-TdopVWltgqM.mp4 87.9 MB
- Part 15-Module 01-Lesson 05_Interview Practice/03. Free Throw Probability-Zyq0FQ0XO3o.mp4 56.6 MB
- Part 15-Module 01-Lesson 05_Interview Practice/04. Query a SQL database-UVSFLWdAKl4.mp4 51.2 MB
- Part 15-Module 01-Lesson 03_Interview Fails/04. Interviewing Fails Lyla Fujiwara-CgK2HxdJzc8.mp4 49.7 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/16. Sean's NFL Fan Sentiment Study-ahaxt6UKxQw.mp4 49.6 MB
- Part 03-Module 04-Lesson 01_Investigate a Dataset/05. Investigate A Dataset Project Walkthrough Final-OtDZCYxbHB4.mp4 49.4 MB
- Part 15-Module 01-Lesson 05_Interview Practice/02. Describe your latest data project-cXluuqCVg18.mp4 42.1 MB
- Part 15-Module 01-Lesson 02_Practice Behavioral Questions/06. A Problem and How You Dealt With It-7IKqdW30GvQ.mp4 40.7 MB
- Part 16-Module 01-Lesson 06_Datasets and Questions/03. Accuracy vs. Training Set Size-9w1Yi5nMNgw.mp4 34.8 MB
- Part 07-Module 01-Lesson 01_What is EDA/09. Aude Explores Coordinated Migration-7ihp6ofAJG8.mp4 34.7 MB
- Part 15-Module 01-Lesson 05_Interview Practice/06. Design a Spam Classifier-Uy89Ff49pRc.mp4 33.3 MB
- Part 13-Module 01-Lesson 01_Develop Your Personal Brand/04. Meet Chris-0ccflD9x5WU.mp4 32.5 MB
- Part 16-Module 01-Lesson 13_PCA/31. Eigenfaces Code-LgLYw-G4sLQ.mp4 32.4 MB
- Part 15-Module 02-Lesson 08_Technical Interview - Python/05. Brainstorming-LJFYhMDCCsU.mp4 31.7 MB
- Part 15-Module 02-Lesson 08_Technical Interview - Python/09. Debugging-Bz1tlvkql9Q.mp4 31.0 MB
- Part 16-Module 01-Lesson 14_Validation/10. Practical Advice for K-Fold in sklearn-COVRSk0GDEE.mp4 30.5 MB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/05. DAP Overview-qdV4sifMmWI.mp4 25.4 MB
- Part 01-Module 01-Lesson 02_The Life of a Data Analyst/03. Industry Interview Sinthuja-R5XBQ7dSz7w.mp4 25.3 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/01. ML in The Google Self-Driving Car-lL16AQItG1g.mp4 25.1 MB
- Part 12-Module 01-Lesson 01_GitHub Review/13. Interview with Art - Part 3-M6PKr3S1rPg.mp4 25.0 MB
- Part 08-Module 03-Lesson 01_Assessing Data/15. Quality Programatic Assessment 1-l-FhDkQRclA.mp4 24.9 MB
- Part 15-Module 02-Lesson 03_Searching and Sorting/04. Recursion-_aI2Jch6Epk.mp4 24.7 MB
- Part 18-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.mp4 23.7 MB
- Part 16-Module 01-Lesson 09_Clustering/12. Sklearn-3zHUAXcoZ7c.mp4 23.3 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/29. Model Diagnostics In Python-1Z4eorbfOOc.mp4 22.8 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/05. Frances Gerety-GXT_vXBA0vQ.mp4 22.1 MB
- Part 04-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-FV_hc3MzS_8.mp4 22.1 MB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-b2zvrFL8AUw.mp4 22.0 MB
- Part 16-Module 01-Lesson 12_Feature Selection/14. Balancing Error with Number of Features-IwiIFMcDwoA.mp4 21.9 MB
- Part 12-Module 01-Lesson 01_GitHub Review/04. Interview with Art - Part 1-ClLYamtaO-Q.mp4 21.8 MB
- Part 18-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.mp4 21.6 MB
- Part 07-Module 01-Lesson 01_What is EDA/04. Why learn EDA-YM68DrqJw1I.mp4 21.0 MB
- Part 18-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.mp4 21.0 MB
- Part 16-Module 01-Lesson 13_PCA/28. PCA in sklearn-SBYdqlLgbGk.mp4 20.9 MB
- Part 16-Module 01-Lesson 13_PCA/23. PCA for Feature Transformation-8kUPRUEMCA8.mp4 20.8 MB
- Part 15-Module 02-Lesson 02_List-Based Collections/11. Queues-XAbzlilAHZw.mp4 20.7 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/10. Overlaying Summaries with Raw Data-O9d9dKyHtIc.mp4 20.7 MB
- Part 13-Module 01-Lesson 01_Develop Your Personal Brand/02. Elevator Pitch-S-nAHPrkQrQ.mp4 20.6 MB
- Part 15-Module 01-Lesson 05_Interview Practice/07. Jimmy's Analysis of the Interview-wg535YU4jFw.mp4 20.3 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/18. Gaussian NB Example-wpnDwiqTCJA.mp4 20.3 MB
- Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/01. What is Tableau-LeCpU8HvVg8.mp4 20.1 MB
- Part 02-Module 02-Lesson 01_Python Project/08. Classroom DAND-Explore US Bikeshare Data Walkthrough-0yuglNRWyKs.mp4 20.1 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/04. David's Data Wrangling Example-TN-CWy3GK44.mp4 20.0 MB
- Part 16-Module 01-Lesson 05_Choose Your Own Algorithm/10. Welcome to the end of the lesson-nWFJ_eOU27I.mp4 19.9 MB
- Part 18-Module 01-Lesson 03_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.mp4 19.9 MB
- Part 15-Module 02-Lesson 03_Searching and Sorting/06. Intro to Sorting-Z6yuIen71zM.mp4 19.9 MB
- Part 16-Module 01-Lesson 12_Feature Selection/10. Feature Selection in TfIdf Vectorizer-GdsLRKjjKLw.mp4 19.3 MB
- Part 16-Module 01-Lesson 14_Validation/09. K-Fold CV in sklearn-QSYMwFbE7PA.mp4 19.3 MB
- Part 16-Module 01-Lesson 04_Decision Trees/33. Bias-Variance Dilemma-W5uUYnSHDhM.mp4 19.1 MB
- Part 08-Module 03-Lesson 01_Assessing Data/16. Quality Programatic Assessment 2 Solution-CWJZoi_Es84.mp4 19.0 MB
- Part 18-Module 01-Lesson 04_Functions/14. Iterators And Generators-tYH8X4Zeh-0.mp4 18.9 MB
- Part 07-Module 02-Lesson 01_Explore and Summarize Data/06. Explore And Summarize Data Walkthrough Final-_OwKKL6SI38.mp4 18.9 MB
- Part 09-Module 01-Lesson 04_Making Dashboards & Stories in Tableau/05. Tableau Dashboards Stories with Trina-i9xslfFp80g.mp4 18.8 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/25. Smoothing Conditional Means-hxk2cgdChUw.mp4 18.8 MB
- Part 18-Module 01-Lesson 03_Control Flow/10. For Loops-UtX0PXSUCdY.mp4 18.4 MB
- Part 15-Module 02-Lesson 01_Introduction and Efficiency/07. Efficiency-I-RASDPbDrI.mp4 18.4 MB
- Part 04-Module 01-Lesson 15_Multiple Linear Regression/05. How Does MLR Work-bvM6eUYyurA.mp4 18.4 MB
- Part 15-Module 01-Lesson 02_Practice Behavioral Questions/08. Time When You Dealt With Failure-Qb4o_4hCuyg.mp4 18.4 MB
- Part 15-Module 01-Lesson 03_Interview Fails/03. Interviewing Fails Siya Raj Purohit-wYop-N5YgeA.mp4 18.4 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/21. Lada's Money Bag Meme-Isa_FGQrvgs.mp4 18.3 MB
- Part 01-Module 01-Lesson 02_The Life of a Data Analyst/04. Lada's Money Bag Meme - Data Analysis with R-Isa_FGQrvgs.mp4 18.3 MB
- Part 18-Module 01-Lesson 03_Control Flow/02. If Elif and Else-KZubH5XT0eU.mp4 18.3 MB
- Part 14-Module 03-Lesson 01_Craft Your Cover Letter/05. Writing the Body-aK9Qnv3a6Wg.mp4 18.2 MB
- Part 16-Module 01-Lesson 13_PCA/17. Composite Features-spVqFnSvlIU.mp4 18.1 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/02. Cancer Test-CNpSrdnYvbo.mp4 18.0 MB
- Part 16-Module 01-Lesson 11_Text Learning/10. Stemming to Consolidate Vocabulary-gBwGPI0srBE.mp4 17.6 MB
- Part 16-Module 01-Lesson 13_PCA/29. When to Use PCA-hJZHcmJBk1o.mp4 17.5 MB
- Part 04-Module 01-Lesson 15_Multiple Linear Regression/17. Multicollinearity VIFs-wbtrXMusDe8.mp4 17.5 MB
- Part 13-Module 01-Lesson 01_Develop Your Personal Brand/01. Why Network-exjEm9Paszk.mp4 17.4 MB
- Part 18-Module 01-Lesson 03_Control Flow/31. List Comprehensions-6qxo-NV9v_s.mp4 17.4 MB
- Part 16-Module 01-Lesson 06_Datasets and Questions/04. Downloading Enron Data-TgkBAtaTqJk.mp4 17.4 MB
- Part 16-Module 01-Lesson 07_Regressions/33. What Data Is Good For Linear Regression-4GBJk6R0pb4.mp4 17.3 MB
- Part 04-Module 01-Lesson 15_Multiple Linear Regression/22. Interactions Higher Order Terms-gMHwogzqPOk.mp4 17.3 MB
- Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/11. Subquery Solution Video-Y6S3S0LsMrw.mp4 17.3 MB
- Part 04-Module 01-Lesson 15_Multiple Linear Regression/06. Interpreting Multiplie Linear Regression Coefficients-qRD3OVX8UMM.mp4 17.3 MB
- Part 18-Module 01-Lesson 02_Data Types and Operators/13. Strings-ySZDrs-nNqg.mp4 17.3 MB
- Part 18-Module 01-Lesson 03_Control Flow/02. If Statements-jWiIUMrwPqA.mp4 17.0 MB
- Part 16-Module 01-Lesson 03_SVM/20. Playing Around with Kernel Choices-krV6r7HxmZU.mp4 16.9 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/20. Bayes Rule Summary-RgXQ8GRsjfc.mp4 16.9 MB
- Part 18-Module 01-Lesson 02_Data Types and Operators/05. L2 04b Variables II V3-4IJqbP8vi6A.mp4 16.8 MB
- Part 16-Module 01-Lesson 12_Feature Selection/15. Regularization-l9V5tlIWTvs.mp4 16.8 MB
- Part 15-Module 02-Lesson 08_Technical Interview - Python/02. Clarifying the Question-XvvKBmKC_84.mp4 16.7 MB
- Part 14-Module 03-Lesson 01_Craft Your Cover Letter/01. Get an Interview with a Cover Letter!-BH1KY63YfAM.mp4 16.7 MB
- Part 16-Module 01-Lesson 11_Text Learning/06. Bag of Words in Sklearn-aCdg-d_476Y.mp4 16.7 MB
- Part 13-Module 01-Lesson 01_Develop Your Personal Brand/07. Use Your Elevator Pitch-e-v60ieggSs.mp4 16.6 MB
- Part 15-Module 02-Lesson 03_Searching and Sorting/11. Efficiency of Merge Sort-HKiK5Y-YSkk.mp4 16.5 MB
- Part 10-Module 01-Lesson 01_Congratulations & Next Steps/03. Creating Customer Segmentation Arvato Project-VCChvqoK6Go.mp4 16.4 MB
- Part 01-Module 01-Lesson 02_The Life of a Data Analyst/01. Sparta Science-MkjoaUmdOXc.mp4 16.3 MB
- Part 04-Module 01-Lesson 15_Multiple Linear Regression/08. Dummy Variables--QTgDd-fZuA.mp4 16.2 MB
- Part 15-Module 01-Lesson 05_Interview Practice/05. Maximum Difference in an Integer Array-R9AtVBq2Z5E.mp4 16.1 MB
- Part 15-Module 01-Lesson 02_Practice Behavioral Questions/04. Time When You Showed Initiative-29mkriaGT0E.mp4 16.1 MB
- Part 16-Module 01-Lesson 14_Validation/03. TrainTest Split in sklearn-lSwvUmZCvco.mp4 16.1 MB
- Part 16-Module 01-Lesson 04_Decision Trees/10. Decision Tree Parameters-jkJ4dbbpVCQ.mp4 15.9 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/09. Arrangements-GeINbOOYkF8.mp4 15.9 MB
- Part 08-Module 02-Lesson 01_Gathering Data/10. HTML Files in Python 1-0VZumC18UvQ.mp4 15.9 MB
- Part 18-Module 01-Lesson 04_Functions/08. Documentation-_Vl9NJkA6JQ.mp4 15.9 MB
- Part 16-Module 01-Lesson 14_Validation/08. K-Fold Cross Validation-TIgfjmp-4BA.mp4 15.9 MB
- Part 04-Module 01-Lesson 06_Conditional Probability/15. Summary-yepMH9VswI8.mp4 15.8 MB
- Part 18-Module 01-Lesson 03_Control Flow/28. Zip and Enumerate-bSJPzVArE7M.mp4 15.7 MB
- Part 16-Module 01-Lesson 03_SVM/23. SVM Gamma Parameter-m2a2K4lprQw.mp4 15.5 MB
- Part 18-Module 01-Lesson 04_Functions/02. Defining Functions-IP_tJYhynbc.mp4 15.5 MB
- Part 16-Module 01-Lesson 07_Regressions/18. AgeNet Worth Regression in sklearn-5DvUOwA7xhU.mp4 15.4 MB
- Part 18-Module 01-Lesson 02_Data Types and Operators/08. Números inteiros e floats-MiJ1vfWp-Ts.mp4 15.4 MB
- Part 18-Module 01-Lesson 02_Data Types and Operators/05. Variables-7pxpUot4x0w.mp4 15.3 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/24. Many Variables-okzOTH15r3Y.mp4 15.3 MB
- Part 07-Module 01-Lesson 02_R Basics/04. Install RStudio on Windows-5ZbjUEg4a1g.mp4 15.3 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/03. Shortcomings of Accuracy-9JfaMZcSlQA.mp4 15.3 MB
- Part 15-Module 02-Lesson 01_Introduction and Efficiency/01. Course Introduction-NKBUbUiedzc.mp4 15.2 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/36. Naive Bayes Strengths and Weaknesses-nfbKTrufPOs.mp4 15.2 MB
- Part 08-Module 04-Lesson 01_Cleaning Data/17. Flashforward-rfMu3f9O9hQ.mp4 15.2 MB
- Part 18-Module 01-Lesson 03_Control Flow/07. Complex Boolean Expressions-gWmIKWgzFqI.mp4 15.1 MB
- Part 15-Module 01-Lesson 01_Ace Your Interview/02. Interviewing Conversations-klqXp09Pen4.mp4 15.0 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-o2Tpws5C2Eg.mp4 15.0 MB
- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/07. Finding the First Link-_bPdJBJtNqo.mp4 14.9 MB
- Part 16-Module 01-Lesson 10_Feature Scaling/11. MinMax Scaler in sklearn-lgoh5R05YM0.mp4 14.9 MB
- Part 15-Module 02-Lesson 03_Searching and Sorting/01. Binary Search-0VN5iwEyq4c.mp4 14.7 MB
- Part 16-Module 01-Lesson 01_Welcome to Machine Learning/01. Introduction-ICKBWIkfeJ8.mp4 14.6 MB
- Part 15-Module 02-Lesson 03_Searching and Sorting/10. Merge Sort-K916wfSzKxE.mp4 14.6 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/11. Confusion Matrix for Eigenfaces--VxKwVvrNY0.mp4 14.6 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/15. Confusion Matrix for Eigenfaces--VxKwVvrNY0.mp4 14.6 MB
- Part 07-Module 01-Lesson 01_What is EDA/02. Data is Ubiquitous-YbVuN2KOlt4.mp4 14.6 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/25. Scatterplot Matrices-w6CLWh1dLCU.mp4 14.5 MB
- Part 07-Module 01-Lesson 02_R Basics/07. RStudio Layout-FDSmlIBy7ko.mp4 14.4 MB
- Part 04-Module 01-Lesson 15_Multiple Linear Regression/15. Potential Problems-lGwB6YRThbI.mp4 14.4 MB
- Part 15-Module 02-Lesson 02_List-Based Collections/09. Stacks Details-HpaVHzDeZC4.mp4 14.4 MB
- Part 14-Module 03-Lesson 01_Craft Your Cover Letter/04. Writing Your Introduction-5S5PH73WLLY.mp4 14.4 MB
- Part 15-Module 02-Lesson 02_List-Based Collections/05. Linked Lists-zxkpZrozDUk.mp4 14.3 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/17. Introducing the Yogurt Dataset-5J9GxnJVo78.mp4 14.2 MB
- Part 15-Module 01-Lesson 03_Interview Fails/02. Interviewing Fails Mike Wales-OGXRmzBglI4.mp4 14.0 MB
- Part 16-Module 01-Lesson 07_Regressions/19. Extracting Information from sklearn-zDIRQE_oxfk.mp4 13.9 MB
- Part 08-Module 03-Lesson 01_Assessing Data/09. Quality Visual Assessment 1 -XfKc5PtJ7cc.mp4 13.9 MB
- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/02. Beautiful Soup Demonstration-dk7ESZXLnk4.mp4 13.9 MB
- Part 04-Module 01-Lesson 15_Multiple Linear Regression/02. Multiple Linear Regression-rvYZp99nj6c.mp4 13.8 MB
- Part 01-Module 01-Lesson 02_The Life of a Data Analyst/02. Interview with a Data Scientist-kNnFA5hxI2Q.mp4 13.8 MB
- Part 14-Module 01-Lesson 01_Conduct a Job Search/03. Target Your Application to An Employer-X9JBzbrkcvs.mp4 13.7 MB
- Part 08-Module 03-Lesson 01_Assessing Data/03. Dataset Oral Insulin Clinical Trial Data-R-HT78SPxpE.mp4 13.6 MB
- Part 08-Module 04-Lesson 01_Cleaning Data/03. Dataset Oral Insulin Clinical Trial Data -R-HT78SPxpE.mp4 13.6 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/17. Moira on Correlation-2vql64jk77I.mp4 13.4 MB
- Part 16-Module 01-Lesson 07_Regressions/27. Problem with Minimizing Absolute Errors-U46D7oEijlI.mp4 13.4 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/02. Acerous Vs. Non-Acerous-TeFF9wXiFfs.mp4 13.4 MB
- Part 04-Module 01-Lesson 15_Multiple Linear Regression/11. Dummy Variable Interpretation-TxP_TD0kbOo.mp4 13.4 MB
- Part 16-Module 01-Lesson 12_Feature Selection/13. Overfitting by Eye-sJgPnuiHrs8.mp4 13.4 MB
- Part 18-Module 01-Lesson 02_Data Types and Operators/25. L2 06 Lists Methods V1-tz2Ja1Eaeqo.mp4 13.3 MB
- Part 16-Module 01-Lesson 04_Decision Trees/34. DT Strengths and Weaknesses-KGnhg76iRfI.mp4 13.3 MB
- Part 18-Module 01-Lesson 02_Data Types and Operators/01. Introduction-4F7SC0C6tfQ.mp4 13.3 MB
- Part 16-Module 01-Lesson 13_PCA/20. Maximal Variance and Information Loss-hfmvk8DzTGA.mp4 13.3 MB
- Part 14-Module 02-Lesson 01_Refine Your Entry-Level Resume/02. Effective Resume Components-AiFcaHRGdEA.mp4 13.2 MB
- Part 14-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/02. Effective Resume Components-AiFcaHRGdEA.mp4 13.2 MB
- Part 14-Module 02-Lesson 02_Refine Your Career Change Resume/02. Effective Resume Components-AiFcaHRGdEA.mp4 13.2 MB
- Part 18-Module 01-Lesson 03_Control Flow/25. Break and Continue-F6qJAv9ts9Y.mp4 13.2 MB
- Part 12-Module 01-Lesson 01_GitHub Review/09. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 13.2 MB
- Part 02-Module 01-Lesson 02_Functions, Installation and Conditionals/05. Ud1110 IntroPy L212 Put A Python In Your Computer-P-Lr3WED7pg.mp4 13.1 MB
- Part 08-Module 02-Lesson 01_Gathering Data/14. Text Files In Python 1-nDWAZOU3W3U.mp4 13.0 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/06. The Rise of Diamonds-MD9RIDRVc-A.mp4 12.9 MB
- Part 16-Module 01-Lesson 06_Datasets and Questions/02. What Is A POI-wDQhif-MWuY.mp4 12.9 MB
- Part 14-Module 02-Lesson 01_Refine Your Entry-Level Resume/06. Resume Review-L3F2BFGYMtI.mp4 12.9 MB
- Part 14-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/06. Resume Review-L3F2BFGYMtI.mp4 12.9 MB
- Part 14-Module 02-Lesson 02_Refine Your Career Change Resume/06. Resume Review-L3F2BFGYMtI.mp4 12.9 MB
- Part 04-Module 01-Lesson 06_Conditional Probability/13. Two Coins 3-JIWv5fU3GLA.mp4 12.9 MB
- Part 18-Module 01-Lesson 03_Control Flow/07. Truth Value Testing-e52uw7ejV8k.mp4 12.8 MB
- Part 16-Module 01-Lesson 09_Clustering/01. Unsupervised Learning-Mx9f99bRB3Q.mp4 12.7 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/31. Bayes Rule for Classification-wPI9WOfpZbM.mp4 12.7 MB
- Part 14-Module 02-Lesson 01_Refine Your Entry-Level Resume/05. Resume Reflection-8Cj_tCp8mls.mp4 12.6 MB
- Part 14-Module 02-Lesson 02_Refine Your Career Change Resume/05. Resume Reflection-8Cj_tCp8mls.mp4 12.6 MB
- Part 14-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/05. Resume Reflection-8Cj_tCp8mls.mp4 12.6 MB
- Part 16-Module 01-Lesson 13_PCA/25. ReviewDefinition of PCA-oFBGXUUuKyI.mp4 12.6 MB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/13. Formula Summary-zqo1RJEHT_0.mp4 12.6 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/28. Analyzing Three or More Variables-VUfaXWrr3oY.mp4 12.5 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/08. Bayes Rule Diagram-b8M9CWxRyQ4.mp4 12.5 MB
- Part 16-Module 01-Lesson 13_PCA/16. Compression While Preserving Information-NjuenhkC-44.mp4 12.5 MB
- Part 15-Module 01-Lesson 02_Practice Behavioral Questions/07. What Do You Know About the Company-CcTfHemUvbM.mp4 12.5 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/01. Welcome!-KJT4Z0xpHns.mp4 12.4 MB
- Part 11-Module 01-Lesson 03_Review a Repo's History/01. A Repository's History - Intro-UBmg3syQS0E.mp4 12.3 MB
- Part 15-Module 02-Lesson 04_Maps and Hashing/04. Introduction to Hashing-8yik3RlDFgM.mp4 12.2 MB
- Part 16-Module 01-Lesson 12_Feature Selection/11. Bias, Variance, and Number of Features-OurfO1ZR2GU.mp4 12.2 MB
- Part 16-Module 01-Lesson 04_Decision Trees/13. Data Impurity and Entropy-Bd15qhUrKCI.mp4 12.2 MB
- Part 14-Module 02-Lesson 01_Refine Your Entry-Level Resume/03. Resume Structure-POM0MqLTj98.mp4 12.2 MB
- Part 14-Module 02-Lesson 02_Refine Your Career Change Resume/03. Resume Structure-POM0MqLTj98.mp4 12.2 MB
- Part 14-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/03. Resume Structure-POM0MqLTj98.mp4 12.2 MB
- Part 16-Module 01-Lesson 10_Feature Scaling/12. Quiz on Algorithms Requiring Rescaling-oEhevl5DWpk.mp4 12.1 MB
- Part 14-Module 01-Lesson 01_Conduct a Job Search/02. Job Search Mindset-cBk7bno3KS0.mp4 12.1 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/21. Training and Testing Data-x2dmBUEKQIA.mp4 12.1 MB
- Part 16-Module 01-Lesson 07_Regressions/31. R Squared in SKlearn-Dxf1I4IE6co.mp4 12.0 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/08. The Demand of Diamonds-h-YgETh80h4.mp4 12.0 MB
- Part 15-Module 02-Lesson 03_Searching and Sorting/02. Efficiency of Binary Search-7WbRB7dSyvc.mp4 12.0 MB
- Part 04-Module 01-Lesson 12_Hypothesis Testing/24. What If Our Sample Is Large-WoTCeSTL1eM.mp4 12.0 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/06. 5 Flips 3 Heads-pOKmt4w8T3g.mp4 11.9 MB
- Part 16-Module 01-Lesson 07_Regressions/23. Errors and Fit Quality-x-8-2zy8gmI.mp4 11.9 MB
- Part 15-Module 02-Lesson 02_List-Based Collections/01. Welcome to Collections-cZORvZq-tI0.mp4 11.9 MB
- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/02. Using Python to get HTML-1Y_CZyKNWe4.mp4 11.8 MB
- Part 16-Module 01-Lesson 14_Validation/04. Where to use training vs. testing data 1-NvgWKf-iBsw.mp4 11.8 MB
- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/15. More on Performance Tuning-ZK1FvNH10Ag.mp4 11.8 MB
- Part 16-Module 01-Lesson 12_Feature Selection/16. Lasso Regression-qU1_cj4LfLY.mp4 11.8 MB
- Part 16-Module 01-Lesson 13_PCA/38. Selecting Principal Components-IwcoGtFuYSo.mp4 11.7 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/21. Model Problems-MV_e0z9kFjM.mp4 11.6 MB
- Part 07-Module 01-Lesson 01_What is EDA/05. Aude's Interest in Data-DDNSMG_RltY.mp4 11.6 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/07. Alpha and Jitter-JqyUT7RbvgI.mp4 11.6 MB
- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/01. Ud1110 IntroPy L5 01 A Wikipedia Crawl-osrplIl1m-k.mp4 11.6 MB
- Part 04-Module 01-Lesson 06_Conditional Probability/10. Total Probability-YSYpzFR4k1I.mp4 11.5 MB
- Part 14-Module 02-Lesson 02_Refine Your Career Change Resume/01. Convey Your Skills Concisely-xnQr3ohml9s.mp4 11.5 MB
- Part 14-Module 02-Lesson 01_Refine Your Entry-Level Resume/01. Convey Your Skills Concisely-xnQr3ohml9s.mp4 11.5 MB
- Part 14-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/01. Convey Your Skills Concisely-xnQr3ohml9s.mp4 11.5 MB
- Part 16-Module 01-Lesson 13_PCA/18. Maximal Variance-tfYAGBIR_Ws.mp4 11.5 MB
- Part 16-Module 01-Lesson 10_Feature Scaling/06. Comparing Features with Different Scales-PRL8trOU7Rs.mp4 11.5 MB
- Part 04-Module 01-Lesson 12_Hypothesis Testing/08. Types Of Errors - Part II-mbdSQ5CjdFs.mp4 11.5 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/21. Sampling Observations-PsRMReOqccg.mp4 11.5 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/21. Robot Sensing 1-_DjfTytro6I.mp4 11.4 MB
- Part 08-Module 02-Lesson 01_Gathering Data/10. HTML Files In Python 2-3caDGTxcoCw.mp4 11.4 MB
- Part 08-Module 03-Lesson 01_Assessing Data/12. Data Quality Dimensions 1-5UYGvKDsd-M.mp4 11.4 MB
- Part 18-Module 01-Lesson 05_Scripting/20. Importing Files-qjeSn6zZbR0.mp4 11.4 MB
- Part 04-Module 01-Lesson 04_Probability/02. Flipping Coins-OpNufHYgJCg.mp4 11.3 MB
- Part 04-Module 01-Lesson 15_Multiple Linear Regression/18. Multicollinearity VIFs-uiF3UcDWwPI.mp4 11.3 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/06. Interpreting Results-UPOxxbKu6CQ.mp4 11.3 MB
- Part 04-Module 01-Lesson 04_Probability/18. Doubles-fkUyTJNbdzU.mp4 11.3 MB
- Part 04-Module 01-Lesson 04_Probability/16. One Of Three 2-27Ed1GI4j84.mp4 11.2 MB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/02. Shape-DjsL64Kjr1Q.mp4 11.2 MB
- Part 16-Module 01-Lesson 11_Text Learning/01. Dimensions when Learning From Text-NXbR9GQbtnk.mp4 11.1 MB
- Part 18-Module 01-Lesson 02_Data Types and Operators/02. Arithmetic Operators-M8TIOK2P2yw.mp4 11.1 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/30. Sebastian At Home-R4zq6mPPMxs.mp4 11.0 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/02. Scatterplots and Perceived Audience Size-0XndEtOLwhk.mp4 11.0 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/26. Which Plot to Choose-pBSQI8EmhvM.mp4 11.0 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/07. Interpreting Results in Python-IY88UTiJltQ.mp4 11.0 MB
- Part 04-Module 01-Lesson 06_Conditional Probability/12. Two Coins 2-hoVOT8qcQ7c.mp4 10.9 MB
- Part 18-Module 01-Lesson 03_Control Flow/20. L3 08 While Loops V3-7Sf5tcPlKQw.mp4 10.9 MB
- Part 16-Module 01-Lesson 13_PCA/30. PCA for Facial Recognition-WyoU2otqsd8.mp4 10.8 MB
- Part 18-Module 01-Lesson 05_Scripting/17. Reading And Writing Files-w-ZG6DMkVi4.mp4 10.8 MB
- Part 04-Module 01-Lesson 12_Hypothesis Testing/12. Common Types of Hypothesis Tests-8hv8KnvQ6JY.mp4 10.8 MB
- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/02. Exploring HTML with Developer Tools-YWbCvLCBQrg.mp4 10.8 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/01. Introduction to Logistic Regression-P_f2RjjnPEg.mp4 10.8 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/24. Frequency Polygons-v4UGBUB6jO4.mp4 10.8 MB
- Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/09. SQL Subquery Video-10pmKmTI_CA.mp4 10.7 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/08. Formula-DTdS-LlMTQ0.mp4 10.7 MB
- Part 15-Module 01-Lesson 05_Interview Practice/03. Free Throw Probability-pDELcPTP2BI.mp4 10.7 MB
- Part 18-Module 01-Lesson 02_Data Types and Operators/31. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.mp4 10.7 MB
- Part 04-Module 01-Lesson 12_Hypothesis Testing/02. Hypothesis Testing-9GbHHpiK6wk.mp4 10.7 MB
- Part 16-Module 01-Lesson 16_Tying It All Together/04. Outro-VCNcNnZ6V_s.mp4 10.7 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/27. Box Plots, Quartiles, and Friendships-ykFuZOPCU88.mp4 10.6 MB
- Part 17-Module 01-Lesson 01_Matrix Math and NumPy Refresher/02. Data Has Dimensions-F4NSv776X0c.mp4 10.6 MB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/17. Cleaning Example-7bnSPYtPDzQ.mp4 10.6 MB
- Part 18-Module 01-Lesson 05_Scripting/21. The Standard Library-Fw3vf0tDrJM.mp4 10.5 MB
- Part 16-Module 01-Lesson 09_Clustering/10. K-Means Clustering Visualization 2-fQXXa-CAoS0.mp4 10.5 MB
- Part 14-Module 01-Lesson 01_Conduct a Job Search/01. Introduction-axcFtHK6If4.mp4 10.4 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/11. Moira Histogram Summary Scatterplots-GmR3uEM189M.mp4 10.4 MB
- Part 04-Module 01-Lesson 15_Multiple Linear Regression/23. Interpreting Interactions-XV6S2srsdxw.mp4 10.4 MB
- Part 08-Module 02-Lesson 01_Gathering Data/06. Flat File Structure-bLKVRIhrZUY.mp4 10.3 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/04. ggplot Syntax-7XyFjPDPoZQ.mp4 10.3 MB
- Part 11-Module 01-Lesson 01_What is Version Control/03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.mp4 10.3 MB
- Part 16-Module 01-Lesson 13_PCA/21. Info Loss and Principal Components-LTPV8lxQeZQ.mp4 10.3 MB
- Part 03-Module 01-Lesson 01_Anaconda/01. Why Anaconda-VXukXZv7SCQ.mp4 10.3 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/26. Box Plots-c-v-Xa_R4SA.mp4 10.3 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/16. Binomial Distribution Conclusion-9gjCYs8f_PU.mp4 10.2 MB
- Part 15-Module 02-Lesson 07_Case Studies in Algorithms/05. A Faster Algorithm-J7S3CHFBZJA.mp4 10.2 MB
- Part 16-Module 01-Lesson 12_Feature Selection/10. Feature Selection in TfIdf Vectorizer-oZkDSuhBEkE.mp4 10.2 MB
- Part 10-Module 01-Lesson 01_Congratulations & Next Steps/03. Kaggle Project Final For Classroom-Ssttix340C8.mp4 10.2 MB
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- Part 16-Module 01-Lesson 07_Regressions/35. Multivariate Regression Quiz-YPPQy_eB2mU.mp4 10.1 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/35. Why Is Naive Bayes Naive-H7IlFC5wbjk.mp4 10.1 MB
- Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program!/12. Meet the Careers Team-cuKecPpZ7PM.mp4 10.1 MB
- Part 06-Module 01-Lesson 01_Welcome to Term 2!/13. Meet the Careers Team-cuKecPpZ7PM.mp4 10.1 MB
- Part 04-Module 01-Lesson 15_Multiple Linear Regression/01. Introduction to Multiple Linear Regression-b26v8HK-8-o.mp4 10.1 MB
- Part 04-Module 01-Lesson 15_Multiple Linear Regression/13. Dummy Variables Recap-r7Lek8rsIcg.mp4 10.1 MB
- Part 16-Module 01-Lesson 07_Regressions/17. Coding It Up-BTFOf2qXy5U.mp4 10.0 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/04. Picking the Most Suitable Metric-GAfPvj2SSiE.mp4 10.0 MB
- Part 13-Module 01-Lesson 01_Develop Your Personal Brand/05. Elevator Pitch-0QtgTG49E9I.mp4 10.0 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/27. Heat Maps-zSSNWZuVG8Y.mp4 9.9 MB
- Part 16-Module 01-Lesson 16_Tying It All Together/01. Introduction-8tm1144C4T0.mp4 9.9 MB
- Part 08-Module 02-Lesson 01_Gathering Data/03. Finding the Best Movies-aq3qM2EkwrI.mp4 9.9 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/24. Robot Sensing 4-vasdN2Gol0M.mp4 9.9 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/03. Third Qualitative Variable-Q2M8xyY47fc.mp4 9.8 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/09. Be Skeptical Outliers and Anomalies-kAisC2wRGBU.mp4 9.8 MB
- Part 15-Module 01-Lesson 02_Practice Behavioral Questions/05. What Motivates You at the Workplace-Aa9SFwiRbho.mp4 9.8 MB
- Part 14-Module 03-Lesson 01_Craft Your Cover Letter/07. Format-Xlqoq-SoJso.mp4 9.8 MB
- Part 07-Module 01-Lesson 01_What is EDA/06. Goals of EDA-NEvuulahg2g.mp4 9.8 MB
- Part 09-Module 01-Lesson 02_Design/08. Data Ink Ratio-gW2FapuYV4A.mp4 9.8 MB
- Part 10-Module 01-Lesson 01_Congratulations & Next Steps/02. DSND Trailer Final-X2xQnb-bR8A.mp4 9.8 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/08. Overplotting and Domain Knowledge-DMhldSg2_vs.mp4 9.8 MB
- Part 16-Module 01-Lesson 14_Validation/15. Validation Mini-Project Video-dlbeMlRoFd4.mp4 9.8 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/02. Fitting Logistic Regression-Dg0rBDQnIYg.mp4 9.7 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/04. Fitting Logistic Regression In Python-baQf-XiZQQ4.mp4 9.7 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/07. Intro To Stanley Terrain Classification-TwFhCeov85E.mp4 9.7 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/24. Frequency Polygons-bDRGbJP7YMY.mp4 9.7 MB
- Part 16-Module 01-Lesson 01_Welcome to Machine Learning/02. Introduction Part II-2ldF64FPWw4.mp4 9.6 MB
- Part 12-Module 01-Lesson 01_GitHub Review/01. Introduction-Vnj2VNQROtI.mp4 9.6 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/12. Plot Colors for Qualitative Factors-2ZVGl6LrOPw.mp4 9.5 MB
- Part 14-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/04. Describe Your Work Experiences-B1LED4txinI.mp4 9.5 MB
- Part 14-Module 02-Lesson 02_Refine Your Career Change Resume/04. Describe Your Work Experiences-B1LED4txinI.mp4 9.5 MB
- Part 14-Module 02-Lesson 01_Refine Your Entry-Level Resume/04. Describe Your Work Experiences-B1LED4txinI.mp4 9.5 MB
- Part 16-Module 01-Lesson 04_Decision Trees/08. Coding A Decision Tree-cxV6OAxCfIQ.mp4 9.5 MB
- Part 16-Module 01-Lesson 13_PCA/38. Selecting Principal Components-XDvus8zHJbA.mp4 9.5 MB
- Part 14-Module 03-Lesson 01_Craft Your Cover Letter/03. Cover Letter Components-DVvLiKedRw4.mp4 9.5 MB
- Part 09-Module 01-Lesson 01_Introduction to Data Visualization/01. Introduction to Data Visualization-MUZXLvBI2sw.mp4 9.4 MB
- Part 15-Module 01-Lesson 05_Interview Practice/02. Describe your latest data project-wkWDrSBBtz0.mp4 9.4 MB
- Part 18-Module 01-Lesson 02_Data Types and Operators/16. Type Type Conversion-yN6Fam_vZrU.mp4 9.4 MB
- Part 06-Module 01-Lesson 01_Welcome to Term 2!/11. Time Commitment-d-VfUw7wNEQ.mp4 9.4 MB
- Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program!/10. Time Commitment-d-VfUw7wNEQ.mp4 9.4 MB
- Part 16-Module 01-Lesson 12_Feature Selection/21. Feature Selection Mini-Project Video-sJzKx_FiMXA.mp4 9.3 MB
- Part 16-Module 01-Lesson 11_Text Learning/02. Bag Of Words-OGK9SHt8SWg.mp4 9.3 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/09. Conditional Means-FC_GNjqj5zI.mp4 9.3 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/13. Normalizing Probability-yYqN9Mf4jqw.mp4 9.3 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-mOPFQlKBg2M.mp4 9.2 MB
- Part 03-Module 03-Lesson 03_SQL Aggregations/01. Introduction to Aggregations-5vRf_Ntoxfw.mp4 9.2 MB
- Part 15-Module 02-Lesson 08_Technical Interview - Python/04. Test Cases-7CNatJ7PqZ4.mp4 9.2 MB
- Part 02-Module 01-Lesson 03_Data Structures and Loops/18. Problem Solving Skills-el9knzvU4TM.mp4 9.2 MB
- Part 09-Module 01-Lesson 02_Design/01. Introduction-Q0lZkNF6O0g.mp4 9.1 MB
- Part 17-Module 01-Lesson 01_Matrix Math and NumPy Refresher/09. Matrix Transposes-NVK5xCY3CZE.mp4 9.1 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/26. Box Plots-Hk26Zn3xQEY.mp4 9.0 MB
- Part 04-Module 01-Lesson 04_Probability/15. One Of Three 1-bDCXSxkochE.mp4 9.0 MB
- Part 18-Module 01-Lesson 04_Functions/05. Variable Scope-rYubQlAM-gw.mp4 9.0 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/24. Cancer Test-EL5z2lUuxY4.mp4 9.0 MB
- Part 13-Module 01-Lesson 01_Develop Your Personal Brand/06. Pitching to a Recruiter-LxAdWaA-qTQ.mp4 8.9 MB
- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/18. Joining Subqueries-rxy-fE5GeLY.mp4 8.9 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/02. Acerous Vs. Non-Acerous-M5pj2CrO-2w.mp4 8.9 MB
- Part 15-Module 02-Lesson 01_Introduction and Efficiency/08. Notation Intro-xHwIU4j3gBc.mp4 8.9 MB
- Part 11-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 01 Welcome-lbR82UD5F0c.mp4 8.9 MB
- Part 15-Module 01-Lesson 01_Ace Your Interview/01. Introduction-pg4HUMgKLxI.mp4 8.9 MB
- Part 18-Module 01-Lesson 04_Functions/01. Introduction-p5L4rTV1Pgk.mp4 8.9 MB
- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/11. Ud1110 IntroPy L5 43 Case Study Review-jiZwuN6zTFs.mp4 8.8 MB
- Part 16-Module 01-Lesson 03_SVM/22. SVM C Parameter-joTa_FeMZ2s.mp4 8.8 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/27. Analysis and Visualization (After Cleaning)-OF2486euiRE.mp4 8.7 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/07. Reshaping Data-zQj_waidR5w.mp4 8.7 MB
- Part 08-Module 03-Lesson 01_Assessing Data/07. Visual Assessment -GVVibuIg3Ro.mp4 8.7 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/10. Scatterplot Transformation-h1wbEPuADz0.mp4 8.7 MB
- Part 16-Module 01-Lesson 05_Choose Your Own Algorithm/04. Algorithm Options-S-cGZ-FEdjQ.mp4 8.6 MB
- Part 04-Module 01-Lesson 12_Hypothesis Testing/20. Connecting Errors and P-Values-hFNjd5l9CLs.mp4 8.6 MB
- Part 08-Module 02-Lesson 01_Gathering Data/09. Trees-OVeJU18ADmw.mp4 8.6 MB
- Part 16-Module 01-Lesson 11_Text Learning/14. Why Upweight Rare Words-xYQb6f1SIEk.mp4 8.6 MB
- Part 09-Module 01-Lesson 02_Design/13. Using Color-6bAedqD3ilw.mp4 8.5 MB
- Part 18-Module 01-Lesson 01_Why Python Programming/04. L1 02 Course Overview V4-vFxXSIV5cHM.mp4 8.4 MB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/03. Problems Solved by Data Analysts-zbjRiYSSR_Y.mp4 8.4 MB
- Part 04-Module 01-Lesson 15_Multiple Linear Regression/20. Interactions And Higher Order Terms-AOfXMiJgo48.mp4 8.3 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/10. Overlaying Summaries with Raw Data-wqvEtUA0n-s.mp4 8.3 MB
- Part 08-Module 03-Lesson 01_Assessing Data/17. Tidiness Visual Assessment -BNRJdhA8_s8.mp4 8.3 MB
- Part 04-Module 01-Lesson 11_Confidence Intervals/08. Statistical vs. Practical Differences-RKHD1wzxxPA.mp4 8.3 MB
- Part 14-Module 03-Lesson 01_Craft Your Cover Letter/02. Purpose-7F7cMCTcyhM.mp4 8.2 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/05. Moira's Investigation-Mak839YmmrA.mp4 8.2 MB
- Part 09-Module 01-Lesson 02_Design/03. Exploratory vs. Explanatory Analysis-wvgBSMks4p8.mp4 8.2 MB
- Part 15-Module 02-Lesson 04_Maps and Hashing/01. Introduction to Maps-JEw3iQAnGKQ.mp4 8.2 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/29. Analyzing One Variable-oZY94XjiCvM.mp4 8.2 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/20. Building the Linear Model-zyIc0sXYk2A.mp4 8.2 MB
- Part 04-Module 01-Lesson 06_Conditional Probability/14. Two Coins 4-9R44IyZ-aQI.mp4 8.2 MB
- Part 15-Module 02-Lesson 08_Technical Interview - Python/03. Confirming Inputs-8lPTOG1yLsg.mp4 8.2 MB
- Part 16-Module 01-Lesson 09_Clustering/15. Counterintuitive Clusters-StmEUgT1XSY.mp4 8.1 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/14. Assess Intro -vj3CYBlWj3k.mp4 8.1 MB
- Part 08-Module 02-Lesson 01_Gathering Data/12. Source Downloading Files From The Internet -K-Owid_mf8o.mp4 8.1 MB
- Part 08-Module 03-Lesson 01_Assessing Data/11. Quality Visual Assessment 2 Solution-E5tAoCK6GcQ.mp4 8.0 MB
- Part 09-Module 01-Lesson 01_Introduction to Data Visualization/14. What is the Question-xQJyObqxg3E.mp4 8.0 MB
- Part 16-Module 01-Lesson 03_SVM/10. SVM in SKlearn-R7xQtQzkvTk.mp4 8.0 MB
- Part 16-Module 01-Lesson 03_SVM/18. Practice Making a New Feature-MXXTeWLXliY.mp4 8.0 MB
- Part 18-Module 01-Lesson 04_Functions/11. L4 08 Lambda Expressions V3-wkEmPz1peJM.mp4 8.0 MB
- Part 16-Module 01-Lesson 07_Regressions/20. Extracting Score Data from sklearn-NhD4oUuhvO8.mp4 7.9 MB
- Part 15-Module 02-Lesson 03_Searching and Sorting/08. Efficiency of Bubble Sort-KddkHygi7is.mp4 7.9 MB
- Part 16-Module 01-Lesson 04_Decision Trees/02. Linearly Separable Data-lCWGV6ZuXt0.mp4 7.9 MB
- Part 16-Module 01-Lesson 01_Welcome to Machine Learning/04. Prerequisites-0ANDJ8i_deE.mp4 7.9 MB
- Part 05-Module 01-Lesson 01_Congratulations & Next Steps/img/party-v1-1.gif 7.9 MB
- Part 15-Module 02-Lesson 03_Searching and Sorting/07. Bubble Sort-h_osLG3GmjE.mp4 7.9 MB
- Part 04-Module 01-Lesson 11_Confidence Intervals/10. Traditional Confidence Interval Methods-DmZwYHuz2eM.mp4 7.9 MB
- Part 16-Module 01-Lesson 13_PCA/06. PCA for Data Transformation-nDuo5ECT1G4.mp4 7.9 MB
- Part 16-Module 01-Lesson 03_SVM/12. Coding Up the SVM-CvTXyvw7QLc.mp4 7.8 MB
- Part 07-Module 01-Lesson 02_R Basics/08. Demystifying R-vLlj5nNj8x4.mp4 7.8 MB
- Part 15-Module 01-Lesson 03_Interview Fails/01. Interview Fails-FD6UNqMa0xc.mp4 7.8 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/05. Features Visualization Quiz-t0iflCpBUDA.mp4 7.8 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/30. Sebastian At Home-TtmQ7YCw_1Y.mp4 7.7 MB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-resolve-merge-conflict.gif 7.7 MB
- Part 16-Module 01-Lesson 13_PCA/15. From Four Features to Two-MEtIAGKweXU.mp4 7.7 MB
- Part 16-Module 01-Lesson 03_SVM/16. Visualizing the New Feature-sAdM20gFi2M.mp4 7.7 MB
- Part 16-Module 01-Lesson 11_Text Learning/11. Stemming with NLTK-gWbkW_cyNs8.mp4 7.7 MB
- Part 16-Module 01-Lesson 11_Text Learning/09. Getting Stopwords from NLTK-DxCwtkrYR-s.mp4 7.7 MB
- Part 04-Module 01-Lesson 12_Hypothesis Testing/04. Setting Up Hypotheses - Part II-nByvHz77GiA.mp4 7.7 MB
- Part 18-Module 01-Lesson 03_Control Flow/02. Indentation-G8qUNOTHtrM.mp4 7.6 MB
- Part 15-Module 02-Lesson 07_Case Studies in Algorithms/08. Exact and Approximate Algorithms-3A8YqOYlAwQ.mp4 7.6 MB
- Part 15-Module 02-Lesson 02_List-Based Collections/08. Stacks-DQoCO8aGcNc.mp4 7.6 MB
- Part 16-Module 01-Lesson 04_Decision Trees/26. Information Gain Calculation Part 5-3jfQlMLyH2o.mp4 7.6 MB
- Part 04-Module 01-Lesson 03_Admissions Case Study/02. Admissions 1-CLgVLQAEYw8.mp4 7.6 MB
- Part 16-Module 01-Lesson 12_Feature Selection/12. Bias, Variance Number of Features Pt 2-X_AS8NBngsk.mp4 7.6 MB
- Part 16-Module 01-Lesson 08_Outliers/01. Outliers in Regression-hxxa0KAkB1o.mp4 7.6 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/05. Confusion Matrices-bgyN3RO2ICo.mp4 7.6 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/10. Confusion Matrices-bgyN3RO2ICo.mp4 7.6 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/10. Gather Unzip File 2-W2tL3QSBi3k.mp4 7.6 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/31. Final Thoughts On Shifting To Machine Learning-YkZFjZ3Fx8A.mp4 7.5 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/05. 5 Flips 2 Heads-69je8wHh2mQ.mp4 7.5 MB
- Part 03-Module 03-Lesson 03_SQL Aggregations/29. 11 CASE V2-BInXuTY_FzE.mp4 7.5 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/25. Prior and Posterior-HEnJRwJ23us.mp4 7.5 MB
- Part 03-Module 03-Lesson 02_SQL Joins/14. Other JOINs-4edRxFmWUEw.mp4 7.5 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/06. Wide and Long Format-zlaeISxRESQ.mp4 7.5 MB
- Part 04-Module 01-Lesson 03_Admissions Case Study/10. Gender Bias Revisited-dOa4Cl0wM0s.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 04-Module 01-Lesson 16_Logistic Regression/09. Model Diagnostics-XsYFAtzF6e4.mp4 7.5 MB
- Part 04-Module 01-Lesson 12_Hypothesis Testing/21. Conclusions In Hypothesis Testing-I0Mo7hcxahY.mp4 7.5 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/15. Omitting NA Observations-SdYtgaZ5riY.mp4 7.4 MB
- Part 18-Module 01-Lesson 05_Scripting/06. Programming Environment Setup-EKxDnCK0NAk.mp4 7.4 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/38. Naive Bayes Mini-Project Video-UH2oSijkszo.mp4 7.4 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/18. Histograms Revisited-7PyV7HxpSYA.mp4 7.4 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/09. Equivalent Diagram-aUFWZ2uJuBE.mp4 7.4 MB
- Part 15-Module 02-Lesson 07_Case Studies in Algorithms/06. Dynamic Programming-VQeFcG9pjJU.mp4 7.4 MB
- Part 18-Module 01-Lesson 05_Scripting/26. Third Party Libraries And Package Managers-epOze9gC6T4.mp4 7.4 MB
- Part 02-Module 01-Lesson 01_Numbers and Strings/01. Welcome to Introduction to Python Programming-IILB-5hIeZM.mp4 7.3 MB
- Part 17-Module 01-Lesson 01_Matrix Math and NumPy Refresher/07. Matrix Multiplication Part 2-8jtk8BzBdj8.mp4 7.3 MB
- Part 04-Module 01-Lesson 12_Hypothesis Testing/25. Multiple Testing Corrections-DuMgeHrkIF0.mp4 7.3 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/02. Perceived Audience Size by Age-GFKRNBnFGVU.mp4 7.3 MB
- Part 16-Module 01-Lesson 09_Clustering/02. Clustering Movies-g8PKffm8IRY.mp4 7.3 MB
- Part 16-Module 01-Lesson 07_Regressions/37. Regression Mini-Project Video-CrD9jN3rBM8.mp4 7.3 MB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/04. Quadratics-1R44jvxIPJY.mp4 7.3 MB
- Part 15-Module 02-Lesson 05_Trees/06. Depth-First Traversals-wp5ohHFTieM.mp4 7.3 MB
- Part 04-Module 01-Lesson 12_Hypothesis Testing/16. What Is A P-value Anyway-eU6pUZjqviA.mp4 7.3 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/06. Gather Intro-K5ITQn1L1R0.mp4 7.3 MB
- Part 16-Module 01-Lesson 09_Clustering/16. Counterintuitive Clusters 2-HyjBus7S2gY.mp4 7.2 MB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/12. Normalizer-mQ_IjrtmmAk.mp4 7.2 MB
- Part 16-Module 01-Lesson 03_SVM/04. What Makes A Good Separating Line-cwjvMYPB1Fk.mp4 7.2 MB
- Part 08-Module 02-Lesson 01_Gathering Data/20. Flashforward 2-Sbyn8aT-8G8.mp4 7.2 MB
- Part 07-Module 01-Lesson 02_R Basics/16. Advice for Data Scientists-FdkhUOtHIFg.mp4 7.2 MB
- Part 08-Module 02-Lesson 01_Gathering Data/13. Text File Structure-O4qEWpXZLQg.mp4 7.2 MB
- Part 16-Module 01-Lesson 11_Text Learning/13. Weighting by Term Frequency-t2Nq3MFK_pg.mp4 7.2 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/12. Binomial 3-YIELbuet-ZE.mp4 7.1 MB
- Part 08-Module 02-Lesson 01_Gathering Data/16. JSON File Structure-hO2CayzZBoA.mp4 7.1 MB
- Part 03-Module 01-Lesson 02_Jupyter Notebooks/01. Jupyter-qiYDWFLyXvg.mp4 7.1 MB
- Part 16-Module 01-Lesson 08_Outliers/02. What Causes Outliers-djTM5fADIVs.mp4 7.1 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/15. Bias Variance Trade off Revisited-CSVf96g0XGM.mp4 7.1 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-OdVAt79eQak.mp4 7.1 MB
- Part 08-Module 02-Lesson 01_Gathering Data/15. Source APIs (Application Programming Interfaces) 2-tobH58uO24U.mp4 7.1 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/06. coord_trans()-2DwKMiFjGPE.mp4 7.0 MB
- Part 16-Module 01-Lesson 13_PCA/05. Trickiest Data Dimensionality-mTcuS5jUeUE.mp4 7.0 MB
- Part 07-Module 01-Lesson 01_What is EDA/07. The Growth of Televisions-GuBics_6HOk.mp4 7.0 MB
- Part 16-Module 01-Lesson 13_PCA/30. PCA for Facial Recognition-B_JKtLN-i5I.mp4 7.0 MB
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- Part 04-Module 01-Lesson 12_Hypothesis Testing/26. How Do Confidence Intervals Hypothesis Tests Compare-KEmsEViOoMA.mp4 7.0 MB
- Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/03. How This Lesson Is Structured-xfRtO4aFpv0.mp4 7.0 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/08. Faceting-in2hLEl_eJU.mp4 7.0 MB
- Part 16-Module 01-Lesson 06_Datasets and Questions/05. Types of Data Quiz 1-YZb-Uam-Ics.mp4 6.9 MB
- Part 12-Module 01-Lesson 01_GitHub Review/08. Writing READMEs with Walter-DQEfT2Zq5_o.mp4 6.9 MB
- Part 16-Module 01-Lesson 09_Clustering/11. K-Means Clustering Visualization 3-WfwX3B4d8_I.mp4 6.9 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/02. What to Do First-TgAIx_NFaD8.mp4 6.9 MB
- Part 15-Module 01-Lesson 04_Land a Job Offer/01. Land a Job Offer-ZQJoT8QL_hw.mp4 6.8 MB
- Part 16-Module 01-Lesson 13_PCA/19. Advantages of Maximal Variance-jQaYAlZ1fp0.mp4 6.8 MB
- Part 16-Module 01-Lesson 05_Choose Your Own Algorithm/01. Choose Your own Algorithm-tpbHNLv-HT0.mp4 6.8 MB
- Part 11-Module 01-Lesson 02_Create A Git Repo/01. Creating New Repositories - Intro-KT163BkqIeg.mp4 6.8 MB
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- Part 15-Module 02-Lesson 07_Case Studies in Algorithms/07. Traveling Salesman Problem-9ruR5Ux63QU.mp4 6.8 MB
- Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/08. Standard Deviation Calculation-H5zA1A-XPoY.mp4 6.8 MB
- Part 09-Module 01-Lesson 02_Design/16. General Design Tips-Zq-wMwOfQqY.mp4 6.8 MB
- Part 15-Module 02-Lesson 08_Technical Interview - Python/06. Runtime Analysis-8bI9OgOB2qI.mp4 6.7 MB
- Part 16-Module 01-Lesson 14_Validation/11. Cross Validation for Parameter Tuning-Xcb9jjjAm60.mp4 6.7 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/12. Correlation-iu6CxSkq-wg.mp4 6.7 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-omC0zbJyzUY.mp4 6.7 MB
- Part 16-Module 01-Lesson 07_Regressions/29. Problem with SSE-S1yjJWWza7g.mp4 6.7 MB
- Part 18-Module 01-Lesson 05_Scripting/02. Python Installation-2_P05aYChqQ.mp4 6.7 MB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/15. Summary-VP-PMcgqhc8.mp4 6.7 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/12. Gather Import-tU1N-8aNB_M.mp4 6.7 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/13. Correlation on Subsets-3pT4mwTqxoA.mp4 6.7 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/07. ggpairs Function-iJEBxsKDDoE.mp4 6.7 MB
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- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/23. Clean Test 1-J4X9r0EGH3k.mp4 6.6 MB
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- Part 16-Module 01-Lesson 05_Choose Your Own Algorithm/05. Investigation Process-5o2x4UsumLY.mp4 6.3 MB
- Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/12. Notation Parameters vs. Statistics-webref_dLrA.mp4 6.3 MB
- Part 04-Module 01-Lesson 13_Case Study AB tests/02. AB Testing-EcWvhbIjT9o.mp4 6.3 MB
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- Part 16-Module 01-Lesson 01_Welcome to Machine Learning/03. Introduction Pt. III-0ZuxGhiqo5U.mp4 6.2 MB
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- Part 18-Module 01-Lesson 03_Control Flow/01. Introduction-eUrvACMMJ5w.mp4 5.9 MB
- Part 17-Module 01-Lesson 01_Matrix Math and NumPy Refresher/06. Matrix Multiplication Part 1-JRoCFQRP4B0.mp4 5.9 MB
- Part 03-Module 03-Lesson 02_SQL Joins/18. JOINs and Filtering-aI1kbDDNs4w.mp4 5.9 MB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/02. Introduction-Z8WNfx9Oq9s.mp4 5.9 MB
- Part 03-Module 03-Lesson 01_Basic SQL/01. Introduction-Z8WNfx9Oq9s.mp4 5.9 MB
- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/07. Ud1110 IntroPy L5 30 Finding The First Link-Z-uuXDrMzqM.mp4 5.9 MB
- Part 04-Module 01-Lesson 04_Probability/03. Fair Coin-9LrlrexpW_o.mp4 5.8 MB
- Part 02-Module 01-Lesson 01_Numbers and Strings/01. What are we going to do-rK6YlbBiKQM.mp4 5.8 MB
- Part 07-Module 01-Lesson 01_What is EDA/08. Our Approach for This Course-dBsf-szQ00s.mp4 5.8 MB
- Part 16-Module 01-Lesson 04_Decision Trees/31. Information Gain Calculation Part 10-o75xNa_jwvg.mp4 5.8 MB
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- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/img/party.gif 5.8 MB
- Part 16-Module 01-Lesson 14_Validation/06. Where to use training vs. testing data 3--XfG5hXveiE.mp4 5.8 MB
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- Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/20. Outliers-HKIsvkZUZfo.mp4 5.7 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/08. Speed Scatterplot Grade and Bumpiness-IMWsjjIeOrY.mp4 5.7 MB
- Part 03-Module 03-Lesson 03_SQL Aggregations/13. GROUP BY-9vb67TF4WV0.mp4 5.7 MB
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- Part 16-Module 01-Lesson 03_SVM/24. Overfitting-CxAxRCv9WoA.mp4 5.7 MB
- Part 18-Module 01-Lesson 02_Data Types and Operators/22. L2 09 Lists And Membership Operators V2-rNV_E50wcWM.mp4 5.7 MB
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- Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/20. Notation for Random Variables-8NxTW1u4s-Y.mp4 5.7 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/20. Clean Define-qHB4jsqcfi4.mp4 5.7 MB
- Part 18-Module 01-Lesson 04_Functions/02. Default Arguments-cG6UfBZX2KI.mp4 5.6 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/17. Getting Started With sklearn-olGPVtH7KGU.mp4 5.6 MB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/20. Plotting With Pandas-kR7KZFqciFE.mp4 5.6 MB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/13. LIMIT Statement-cCPHNNhBgpQ.mp4 5.6 MB
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- Part 16-Module 01-Lesson 07_Regressions/36. Multi-Variate Regression Quiz 2-97v0kEWjcmg.mp4 5.6 MB
- Part 18-Module 01-Lesson 05_Scripting/27. Experimenting With An Interpreter-hspPtnQwMPg.mp4 5.6 MB
- Part 08-Module 03-Lesson 01_Assessing Data/17. Tidiness Visual Assessment Solution-H50mPHHp6fY.mp4 5.6 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/11. Overplotting Revisited-P6ZOr7JiMLk.mp4 5.6 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/19. Linear Models in R-a2GCyz_N0oY.mp4 5.6 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3-m1LSU9SPZ2k.mp4 5.6 MB
- Part 16-Module 01-Lesson 11_Text Learning/04. Mr. Day Loves a Nice Day-0QiU3p8POHk.mp4 5.5 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/24. Final Thoughts-CNGDocH1k3k.mp4 5.5 MB
- Part 16-Module 01-Lesson 03_SVM/25. SVM Strengths and Weaknesses-U9-ZsbaaGAs.mp4 5.5 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/14. Correlation Methods-VQJCYk643po.mp4 5.5 MB
- Part 04-Module 01-Lesson 04_Probability/16. One Of Three 2-gGgqTGZ9TKg.mp4 5.5 MB
- Part 16-Module 01-Lesson 14_Validation/02. Benefits of Testing-7LGaeYfvRug.mp4 5.5 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/01. Welcome to Evaluation Metrics Lesson-IHuFWRM9f9Q.mp4 5.5 MB
- Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/13. Calculating the Mean-1nzZxmJ8xvU.mp4 5.5 MB
- Part 15-Module 02-Lesson 04_Maps and Hashing/06. Collisions-BUaWIjZ_ToY.mp4 5.4 MB
- Part 16-Module 01-Lesson 11_Text Learning/15. Text Learning Mini-Project Video-GJviz-sIq9w.mp4 5.4 MB
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- Part 16-Module 01-Lesson 03_SVM/08. SVM Outlier Practice-osn2fVnCVgQ.mp4 5.4 MB
- Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/25. Background Of Bootstrapping-6Vg5kGoDl7k.mp4 5.4 MB
- Part 07-Module 01-Lesson 02_R Basics/01. The Power of R-5zoL8YdM6sI.mp4 5.4 MB
- Part 07-Module 01-Lesson 02_R Basics/13. Ordered Factors-PZSPhQCVABg.mp4 5.4 MB
- Part 04-Module 01-Lesson 14_Regression/13. Fitting A Regression Line-xQob80zrT3s.mp4 5.4 MB
- Part 16-Module 01-Lesson 12_Feature Selection/19. Lasso Coefficients with sklearn Quiz-7HMAtB-342I.mp4 5.4 MB
- Part 04-Module 01-Lesson 06_Conditional Probability/13. Two Coins 3-GO6kbL3QRBE.mp4 5.4 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/16. Assess Programmatic-6JubHCD7dh4.mp4 5.4 MB
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- Part 09-Module 01-Lesson 02_Design/07. Chart Junk-3BTBEYOG2o8.mp4 5.4 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/25. Welcome to the End of Evaluation Lesson-sgFfl-j_oCs.mp4 5.3 MB
- Part 18-Module 01-Lesson 05_Scripting/24. Techniques For Importing Modules-jPGyFgcIvsM.mp4 5.3 MB
- Part 06-Module 01-Lesson 01_Welcome to Term 2!/08. Integrity and Mindset-zCOr3O50gQM.mp4 5.3 MB
- Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program!/07. Integrity and Mindset-zCOr3O50gQM.mp4 5.3 MB
- Part 03-Module 03-Lesson 02_SQL Joins/13. Motivation for Other JOINs-3qdv1Ojc9Og.mp4 5.3 MB
- Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/12. Variance Standard Deviation Final Points-vXUgp2375j4.mp4 5.3 MB
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- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/01. Introduction to Data Wrangling-4cFsT9KBRs8.mp4 5.0 MB
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- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/04. Ud1110 IntroPy L5 22 Continue Crawl Solution-tLhTfSZ6LRA.mp4 4.7 MB
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- Part 04-Module 01-Lesson 05_Binomial Distribution/12. Binomial 3-Jp2xJOtNQZ0.mp4 4.7 MB
- Part 16-Module 01-Lesson 13_PCA/32. PCA Mini-Project Intro-rR68JXwKBxE.mp4 4.7 MB
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- Part 04-Module 01-Lesson 11_Confidence Intervals/02. Sampling To Distributions To Confidence Intervals-QYMLkDToigc.mp4 4.7 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/14. Confusion Matrix False Alarms-Uf_KdjVT2Xg.mp4 4.7 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/09. Confusion Matrix False Alarms-Uf_KdjVT2Xg.mp4 4.7 MB
- Part 04-Module 01-Lesson 03_Admissions Case Study/07. Aggregation-55eZrE82TqA.mp4 4.7 MB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-HjpgML5zsUE.mp4 4.7 MB
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- Part 16-Module 01-Lesson 07_Regressions/30. R Squared Metric for Regression-yDJEP-XSWdU.mp4 4.6 MB
- Part 16-Module 01-Lesson 04_Decision Trees/14. Minimizing Impurity in Splitting-L6J6BRFgDiI.mp4 4.6 MB
- Part 04-Module 01-Lesson 04_Probability/02. Flipping Coins-lgUDXtUyLLg.mp4 4.6 MB
- Part 08-Module 02-Lesson 01_Gathering Data/11. Flashforward 1-Sr5v0i9m_sw.mp4 4.6 MB
- Part 15-Module 02-Lesson 05_Trees/09. Insert-j6PkPa2ZHWg.mp4 4.6 MB
- Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/02. Download Tableau Public-2bXsg6SKHG8.mp4 4.6 MB
- Part 07-Module 01-Lesson 02_R Basics/14. Setting Levels of Ordered Factors-qzs-3ltgTGo.mp4 4.6 MB
- Part 04-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-QIQBb4nLsHc.mp4 4.6 MB
- Part 06-Module 01-Lesson 01_Welcome to Term 2!/07. Projects and Progress-Z9ZLMQWsbsk.mp4 4.6 MB
- Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program!/06. Projects and Progress-Z9ZLMQWsbsk.mp4 4.6 MB
- Part 16-Module 01-Lesson 11_Text Learning/05. Properties of Bag of Words-XZNKM3xMZNY.mp4 4.6 MB
- Part 16-Module 01-Lesson 09_Clustering/05. Optimizing Centers (Rubber Bands)-nNR4hjhhGBc.mp4 4.6 MB
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- Part 04-Module 01-Lesson 15_Multiple Linear Regression/26. Recap-VM6GGNC2q8I.mp4 4.6 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/19. Clean Programmatic Data Cleaning Process-9-T1CFuOqdQ.mp4 4.6 MB
- Part 16-Module 01-Lesson 13_PCA/27. PCA on the Enron Finance Data-w5XWkq_Y-rY.mp4 4.6 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/23. Age with Months Means-CuMPjPESfY0.mp4 4.6 MB
- Part 03-Module 03-Lesson 03_SQL Aggregations/26. DATE Functions Part II-UPWkDhW4cLI.mp4 4.6 MB
- Part 08-Module 03-Lesson 01_Assessing Data/06. Types vs. Steps -oZmndg-BnPk.mp4 4.6 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/20. Calculating NB Accuracy--gJJmckPBAg.mp4 4.6 MB
- Part 07-Module 01-Lesson 02_R Basics/07. RStudio Layout-LcHWlS84sao.mp4 4.5 MB
- Part 04-Module 01-Lesson 06_Conditional Probability/12. Two Coins 2-tI0J14yQr1s.mp4 4.5 MB
- Part 04-Module 01-Lesson 13_Case Study AB tests/16. Drawing Conclusions-s-4ghG9vrGQ.mp4 4.5 MB
- Part 16-Module 01-Lesson 04_Decision Trees/12. Decision Tree Accuracy-EOLzooGccPc.mp4 4.5 MB
- Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/02. Tableau Desktop Download-End96VkLQc4.mp4 4.5 MB
- Part 03-Module 03-Lesson 01_Basic SQL/24. WHERE Statements -mN0uTnlXaxg.mp4 4.5 MB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/22. WHERE Statements -mN0uTnlXaxg.mp4 4.5 MB
- Part 04-Module 01-Lesson 04_Probability/07. Complementary Outcomes-YseJqD-1oUg.mp4 4.5 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/27. Box Plots, Quartiles, and Friendships-CPDMSJEH16s.mp4 4.5 MB
- Part 02-Module 01-Lesson 02_Functions, Installation and Conditionals/06. Ud1110 IntroPy L218 My Python Programming Setup-wrnov8J5zto.mp4 4.5 MB
- Part 15-Module 02-Lesson 05_Trees/05. Tree Traversal-KZOdmzypynw.mp4 4.5 MB
- Part 18-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.mp4 4.5 MB
- Part 16-Module 01-Lesson 05_Choose Your Own Algorithm/03. Choose Your Own Adventure-Ka9nwD0QzTI.mp4 4.5 MB
- Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/22. Random Observed Values-KFIt2OC3wCI.mp4 4.5 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/23. Age with Months Means-28iU6GrDVfU.mp4 4.5 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/15. Create Scatterplots-AtmfksGs-0I.mp4 4.5 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/28. Getting Logical-52o_ZtwFuXE.mp4 4.5 MB
- Part 16-Module 01-Lesson 03_SVM/21. Kernel and Gamma-pH51jLfGXe0.mp4 4.5 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-n_OrWrZ8tKY.mp4 4.4 MB
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- Part 16-Module 01-Lesson 04_Decision Trees/03. Multiple Linear Questions-p_xPoBRJdtE.mp4 4.4 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/32. Reducing Uncertainty-zuFMhmKQ--o.mp4 4.4 MB
- Part 06-Module 01-Lesson 01_Welcome to Term 2!/09. How Does Project Submission Work-jCJa_VP6qgg.mp4 4.4 MB
- Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program!/08. How Does Project Submission Work-jCJa_VP6qgg.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 12_Hypothesis Testing/29. Hypothesis Testing Conclusion-nQFchD4XPPs.mp4 4.4 MB
- Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/04. 29 Number Summary-gzUN5zKLHjQ.mp4 4.4 MB
- Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/16. Type And Quality Plot - Part 1-iRCS1sE78KI.mp4 4.4 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/22. Bush Precision and Recall-FLpXmoHp7eE.mp4 4.4 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/18. Bush Precision and Recall-FLpXmoHp7eE.mp4 4.4 MB
- Part 16-Module 01-Lesson 04_Decision Trees/04. Constructing a Decision Tree First Split-iZYv1WdWwQo.mp4 4.4 MB
- Part 16-Module 01-Lesson 07_Regressions/01. Continuous Output Quiz-FOwEL4S-SVo.mp4 4.4 MB
- Part 07-Module 01-Lesson 02_R Basics/11. R Markdown Documents-FORb9Tja-p0.mp4 4.3 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/15. Create Scatterplots--gIxCjLXCEs.mp4 4.3 MB
- Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/03. Your First Subquery-cTM1jPYXLoQ.mp4 4.3 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/23. Add a Scaling Layer-SsNYXdi3q-I.mp4 4.3 MB
- Part 08-Module 02-Lesson 01_Gathering Data/09. HTML Structure-UjCbXQ8Coic.mp4 4.3 MB
- Part 08-Module 02-Lesson 01_Gathering Data/05. Source Files On Hand-PjP-EaeXTiY.mp4 4.3 MB
- Part 16-Module 01-Lesson 04_Decision Trees/32. Tuning Criterion Parameter-V80QLNK5fFQ.mp4 4.3 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/20. Precision and Recall-3vT0kSBCLdU.mp4 4.3 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/16. Precision and Recall-3vT0kSBCLdU.mp4 4.3 MB
- Part 15-Module 02-Lesson 05_Trees/15. Heaps-M3B0UJWS_ag.mp4 4.3 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/05. Normalizing 2-WYA5Zbf8HC4.mp4 4.3 MB
- Part 16-Module 01-Lesson 08_Outliers/01. Outliers in Regression-_IetITlJpIs.mp4 4.3 MB
- Part 16-Module 01-Lesson 14_Validation/02. Benefits of Testing-N6hiygoT9FE.mp4 4.2 MB
- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/15. Performance Tuning 1-5mVfYZ_bfRo.mp4 4.2 MB
- Part 18-Module 01-Lesson 05_Scripting/13. Handling Errors Try Except Finally-S6hwBZG0KwM.mp4 4.2 MB
- Part 18-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.mp4 4.2 MB
- Part 16-Module 01-Lesson 12_Feature Selection/17. Lasso Code Quiz-FT0dM2um34E.mp4 4.2 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/10. Speed Scatterplot 3-4qJwfAWG_wQ.mp4 4.2 MB
- Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/22. Bootstrapping-42j3YclcZ4Q.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 16-Module 01-Lesson 15_Evaluation Metrics/10. Decision Tree Confusion Matrix-cUlEryXX9BM.mp4 4.2 MB
- Part 03-Module 03-Lesson 05_SQL Data Cleaning/02. Cleaning with String Functions-y1fduSu7Ovc.mp4 4.2 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/19. User Ages-Gl6anQql914.mp4 4.2 MB
- Part 16-Module 01-Lesson 04_Decision Trees/14. Minimizing Impurity in Splitting-lfZg7j5W7u8.mp4 4.2 MB
- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/05. JOINs with Comparison Operators-48AgxPygRuQ.mp4 4.2 MB
- Part 04-Module 01-Lesson 04_Probability/01. Introduction to Probability-HeoQccoqfTk.mp4 4.2 MB
- Part 18-Module 01-Lesson 02_Data Types and Operators/35. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.mp4 4.2 MB
- Part 04-Module 01-Lesson 14_Regression/17. How Do We Know If Our Model Fits Well-0vPtPAqMHJE.mp4 4.2 MB
- Part 15-Module 02-Lesson 06_Graphs/07. Adjacency Matrices-FsFhoTALA1c.mp4 4.2 MB
- Part 15-Module 02-Lesson 04_Maps and Hashing/09. String Keys-WyFwieF1NN4.mp4 4.2 MB
- Part 07-Module 01-Lesson 01_What is EDA/02. Data is Ubiquitous-ieiQqLicBjg.mp4 4.2 MB
- Part 03-Module 03-Lesson 02_SQL Joins/01. Introduction to JOINs-YvZ010GU-Ck.mp4 4.2 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/23. Equation for Precision-8QEAYYIyopY.mp4 4.2 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/27. Equation for Precision-8QEAYYIyopY.mp4 4.2 MB
- Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/14. Other Sampling Distributions-Bxl0DonzX8c.mp4 4.2 MB
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- Part 04-Module 01-Lesson 13_Case Study AB tests/04. Business Example-Wzz7omSDfEk.mp4 4.2 MB
- Part 16-Module 01-Lesson 07_Regressions/21. Linear Regression Errors-A4nPMEOcUd4.mp4 4.2 MB
- Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/15. Two Useful Theorems-jQ5i7CALdRQ.mp4 4.2 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/18. Histograms Revisited-QII0tSAIex0.mp4 4.2 MB
- Part 16-Module 01-Lesson 04_Decision Trees/04. Constructing a Decision Tree First Split-GMe5JT2_oUE.mp4 4.1 MB
- Part 15-Module 02-Lesson 05_Trees/03. Tree Terminology-mPUsDUR_sj8.mp4 4.1 MB
- Part 16-Module 01-Lesson 09_Clustering/15. Counterintuitive Clusters-aveIz1JYeAg.mp4 4.1 MB
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- Part 16-Module 01-Lesson 08_Outliers/05. Outlier Detection Using Residual Errors-ujpjeaxE6GU.mp4 4.1 MB
- Part 15-Module 02-Lesson 08_Technical Interview - Python/01. Interview Introduction-dRsHYt1Lddc.mp4 4.1 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/23. Predictions-hW_1ASU-j8A.mp4 4.1 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/15. Bias Variance Trade off Revisited-GGCzMmOpQqQ.mp4 4.1 MB
- Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/26. Why Are Sampling Distributions Important-aDFDOCJKoH0.mp4 4.1 MB
- Part 07-Module 01-Lesson 02_R Basics/13. Ordered Factors-Mbd1jfsbvik.mp4 4.1 MB
- Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/23. Bootstrapping the Central Limit Theorem-GJGUwNr_82s.mp4 4.1 MB
- Part 16-Module 01-Lesson 06_Datasets and Questions/11. Enron Dataset Mini-Project Video-0zGp5er3fy4.mp4 4.1 MB
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- Part 09-Module 01-Lesson 01_Introduction to Data Visualization/07. Univariate Plots-kgmYLreYB0A.mp4 4.0 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/23. Clean Test 1 Solution -I1enB5CA85Q.mp4 4.0 MB
- Part 09-Module 01-Lesson 01_Introduction to Data Visualization/02. Why Do We Use Data Visualizations-iiOP4PE46f4.mp4 4.0 MB
- Part 17-Module 01-Lesson 01_Matrix Math and NumPy Refresher/04. Element-wise Matrix Operations-vjUykZyzko4.mp4 4.0 MB
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- Part 08-Module 02-Lesson 01_Gathering Data/15. Source APIs (Application Programming Interfaces)-1y_qjUMDsCw.mp4 4.0 MB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/23. Drawing Conclusions Example-yAl58ccwyvU.mp4 4.0 MB
- Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/06. Appending And NumPy-fdpKvovBMe4.mp4 4.0 MB
- Part 16-Module 01-Lesson 08_Outliers/08. Outliers Mini-Project Video-GRN0Whyy4Lk.mp4 4.0 MB
- Part 08-Module 02-Lesson 01_Gathering Data/09. HTML File Structure -4ef_Dr_SXTw.mp4 4.0 MB
- Part 04-Module 01-Lesson 04_Probability/08. Two Flips 1-1txkcmxk3vU.mp4 4.0 MB
- Part 16-Module 01-Lesson 07_Regressions/11. Slope and Intercept-Ksn1g5fCe1I.mp4 4.0 MB
- Part 12-Module 01-Lesson 01_GitHub Review/06. Quick Fixes-Lb9e2KemR6I.mp4 4.0 MB
- Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/12. Introduction to Summary Statistics-PCZmHCrcMcw.mp4 4.0 MB
- Part 16-Module 01-Lesson 10_Feature Scaling/02. A Metric for Chris-O0bvLU4l0is.mp4 4.0 MB
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- Part 18-Module 01-Lesson 02_Data Types and Operators/27. L2 04 Tuples V3-33xN-AbTMoc.mp4 4.0 MB
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- Part 03-Module 02-Lesson 01_The Data Analysis Process/12. Gathering Data-JsVg95-amjI.mp4 4.0 MB
- Part 07-Module 01-Lesson 02_R Basics/05. Install RStudio on a Mac-buCEFFuLpYo.mp4 4.0 MB
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- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/05. Why Do Analysts Like SQL-uCNOtUht2Xc.mp4 3.9 MB
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- Part 03-Module 03-Lesson 01_Basic SQL/06. Why Do Analysts Like SQL-uCNOtUht2Xc.mp4 3.9 MB
- Part 04-Module 01-Lesson 12_Hypothesis Testing/10. Types Of Errors - Part III-Z-srkCPsdaM.mp4 3.9 MB
- Part 16-Module 01-Lesson 04_Decision Trees/27. Information Gain Calculation Part 6-qnfVoUChRlQ.mp4 3.9 MB
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- Part 04-Module 01-Lesson 12_Hypothesis Testing/13. How Do We Choose Between Hypotheses-JkXTwS-5Daw.mp4 3.9 MB
- Part 15-Module 02-Lesson 05_Trees/18. Self-Balancing Trees-EHI548K3jiw.mp4 3.9 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/34. Bayesian Probabilities On Your Own-vjnKnaZa43M.mp4 3.9 MB
- Part 04-Module 01-Lesson 13_Case Study AB tests/07. Metric - Click Through Rate-EpfoKAwV_Eg.mp4 3.9 MB
- Part 04-Module 01-Lesson 11_Confidence Intervals/11. Traditional vs. Bootstrapping Confidence Intervals-eZ8lyiumXDY.mp4 3.9 MB
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- Part 16-Module 01-Lesson 13_PCA/15. From Four Features to Two-xJtmPbEfpFo.mp4 3.9 MB
- Part 16-Module 01-Lesson 13_PCA/10. Practice Finding Centers-PRjmvj6Vubs.mp4 3.9 MB
- Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.mp4 3.9 MB
- Part 03-Module 03-Lesson 03_SQL Aggregations/25. DATE Functions I-E7Z6GMFVmIY.mp4 3.9 MB
- Part 16-Module 01-Lesson 03_SVM/14. Nonlinear Data-EllzeBecnkU.mp4 3.9 MB
- Part 16-Module 01-Lesson 13_PCA/04. Slightly Less Perfect Data-9O7cJSP4C8w.mp4 3.8 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/10. Cut a Variable-PHJiH5WCBwg.mp4 3.8 MB
- Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/22. Outliers Advice-BhhDoTgYQmI.mp4 3.8 MB
- Part 04-Module 01-Lesson 08_Python Probability Practice/02. Simulating Coin Flips-7YtQNZ3iy6o.mp4 3.8 MB
- Part 03-Module 03-Lesson 03_SQL Aggregations/02. NULLs-WYUkLKn6XCw.mp4 3.8 MB
- Part 08-Module 02-Lesson 01_Gathering Data/21. Storing Data-hcosH34b-yw.mp4 3.8 MB
- Part 08-Module 04-Lesson 01_Cleaning Data/05. Data Cleaning Process -exMGBx6Rs_E.mp4 3.8 MB
- Part 03-Module 03-Lesson 05_SQL Data Cleaning/05. Cleaning With More Advanced String Functions-E6cK8RbYGEc.mp4 3.8 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/14. A Good Linear Decision Surface-z-cX1kYbC1w.mp4 3.8 MB
- Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/15. The Median-WlT3eeW0rb0.mp4 3.8 MB
- Part 15-Module 02-Lesson 04_Maps and Hashing/05. Hashing-kCPFfHx_LgQ.mp4 3.8 MB
- Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/08. Continuous vs. Discrete Data-BzgZebZD9kk.mp4 3.8 MB
- Part 02-Module 01-Lesson 03_Data Structures and Loops/08. Ud1110 IntroPy L3 37 Reading Existing Code-0Pg3HryU9Z4.mp4 3.8 MB
- Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/01. Introduction to Window Functions-u3qLjP8KMKc.mp4 3.8 MB
- Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/07. Outro-ot4fPX1jzOI.mp4 3.8 MB
- Part 16-Module 01-Lesson 04_Decision Trees/22. Information Gain Calculation Part 1-daVA3PI2E6o.mp4 3.8 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/37. Congrats on Learning Naive Bayes-nQsYfzO7-00.mp4 3.8 MB
- Part 08-Module 04-Lesson 01_Cleaning Data/08. Addressing Missing Data First -ArAGZCUMj9Q.mp4 3.8 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/01. Bayes Rules-CohZnkZMOxE.mp4 3.8 MB
- Part 16-Module 01-Lesson 03_SVM/19. Kernel Trick-3Xw6FKYP7e4.mp4 3.8 MB
- Part 02-Module 01-Lesson 04_Files and Modules/10. Ud1110 IntroPy L4 99 Lesson Outro-8AOietAcOLk.mp4 3.8 MB
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- Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/18. Data in the Real World-HmipezTjTDY.mp4 3.8 MB
- Part 07-Module 01-Lesson 02_R Basics/01. The Power of R-Ca0MWoH_ZMY.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 12_Hypothesis Testing/14. Simulating From the Null-sL2yJtHZd8Y.mp4 3.8 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/10. Decision Tree Confusion Matrix-QBaNltqVj_0.mp4 3.8 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/03. Prior And Posterior-GlmS_jox08s.mp4 3.7 MB
- Part 16-Module 01-Lesson 10_Feature Scaling/13. Feature Scaling Mini-Project Video-e6zbTFctnJU.mp4 3.7 MB
- Part 16-Module 01-Lesson 12_Feature Selection/12. Bias, Variance Number of Features Pt 2-1lNAvDubBfI.mp4 3.7 MB
- Part 04-Module 01-Lesson 11_Confidence Intervals/03. Sampling Distributions Confidence Intervals-gICzUhMVymo.mp4 3.7 MB
- Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/20. Hierarchies-wl_AM-spH68.mp4 3.7 MB
- Part 16-Module 01-Lesson 12_Feature Selection/19. Lasso Coefficients with sklearn Quiz-nu2OKJwDvvE.mp4 3.7 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/18. More Caution with Correlation-sefN2vaxjSA.mp4 3.7 MB
- Part 15-Module 02-Lesson 05_Trees/20. Tree Rotations-O5Yl-m0YbVA.mp4 3.7 MB
- Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/12. Pandas Groupby-aWc18hHpXRk.mp4 3.7 MB
- Part 12-Module 01-Lesson 01_GitHub Review/03. Good GitHub repository-qBi8Q1EJdfQ.mp4 3.7 MB
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- Part 04-Module 01-Lesson 11_Confidence Intervals/16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.mp4 3.7 MB
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- Part 15-Module 02-Lesson 06_Graphs/11. BFS-pol4kGNlvJA.mp4 3.7 MB
- Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/02. Window Functions-gp0RPgkDHsQ.mp4 3.7 MB
- Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program!/01. Welcome To DAND Term 1-Q1GEXzXXLN0.mp4 3.7 MB
- Part 04-Module 01-Lesson 14_Regression/16. How Do We Interpret Results-eLk0XGGMaCE.mp4 3.7 MB
- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/05. JOINs with Comparison Operators Motivation-ClzbfQyhNro.mp4 3.7 MB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-36KLIHioAvA.mp4 3.7 MB
- Part 08-Module 03-Lesson 01_Assessing Data/22. Outro -lfWT0kLfe8c.mp4 3.7 MB
- Part 04-Module 01-Lesson 04_Probability/13. One Head 1-lHuZpDkfwq8.mp4 3.7 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/07. Perceived Audience Size-zHnhKtVMhuc.mp4 3.7 MB
- Part 16-Module 01-Lesson 12_Feature Selection/03. A New Enron Feature Quiz-Nmf80xB1DN0.mp4 3.7 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/04. Histogram of Users' Birthdays-20aUUbuzALM.mp4 3.7 MB
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- Part 03-Module 03-Lesson 01_Basic SQL/09. Types Of Statements-vLvJbIz94C4.mp4 3.6 MB
- Part 08-Module 02-Lesson 01_Gathering Data/22. Types Of Statements-vLvJbIz94C4.mp4 3.6 MB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/07. Types Of Statements-vLvJbIz94C4.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 15-Module 02-Lesson 06_Graphs/03. Directions and Cycles-lF0vUktQDPo.mp4 3.6 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-qDGSvvabN18.mp4 3.6 MB
- Part 03-Module 03-Lesson 05_SQL Data Cleaning/11. CAST-LbyOq4ofLng.mp4 3.6 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/17. Assess Solution -lJEMTES2Ar8.mp4 3.6 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/21. A New Perspective-6BBUSWrSuFA.mp4 3.6 MB
- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/14. Performance Tuning Motivation-aY4_uYWEuoE.mp4 3.6 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/18. Disease Test 5-nUxwwMNKIYo.mp4 3.6 MB
- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/08. Ud1110 IntroPy L5 37 Squashing Bugs-X-GqfxYpaw0.mp4 3.6 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/30. Bayes Rule Diagram-LIQrs3dviIs.mp4 3.6 MB
- Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.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 08-Module 03-Lesson 01_Assessing Data/18. Tidiness Programmatic Assessment Solution-LhdGQC_vjEs.mp4 3.6 MB
- Part 03-Module 03-Lesson 05_SQL Data Cleaning/01. Introduction to Data Cleaning-YTtH3NM2BX0.mp4 3.6 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/22. A Bigger, Better Data Set-uj6bLK91ZQI.mp4 3.5 MB
- Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/06. Example of Sampling Distributions - Part I-1XezzP6kxUE.mp4 3.5 MB
- Part 08-Module 02-Lesson 01_Gathering Data/27. Conclusion-IanoSiET2nA.mp4 3.5 MB
- Part 02-Module 01-Lesson 01_Numbers and Strings/12. Ud1110 IntroPy L1 53 Lesson 1 Done!-y3dstGZWPgc.mp4 3.5 MB
- Part 11-Module 01-Lesson 01_What is Version Control/06. Onward-iXbMaTwfIJI.mp4 3.5 MB
- Part 09-Module 01-Lesson 01_Introduction to Data Visualization/04. Further Motivation-sjGxUKrbKoI.mp4 3.5 MB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-MEbJxfw3NVs.mp4 3.5 MB
- Part 08-Module 02-Lesson 01_Gathering Data/09. HTML and Trees-766JMEtZCPE.mp4 3.5 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/20. Prices Over Time-DIrLvDqhjCg.mp4 3.5 MB
- Part 04-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-btGdX0ZpkNU.mp4 3.5 MB
- Part 09-Module 01-Lesson 01_Introduction to Data Visualization/17. Why Data Dashboards-8ni2lCqAVvQ.mp4 3.5 MB
- Part 15-Module 02-Lesson 05_Trees/19. Red-Black Trees - Insertion-dIuWLtWnkgs.mp4 3.5 MB
- Part 02-Module 01-Lesson 01_Numbers and Strings/12. Python Documentation-lBtG0DO_KqM.mp4 3.5 MB
- Part 10-Module 01-Lesson 01_Congratulations & Next Steps/01. DAND 01 Congrats V1-QS1jKmZWdTk.mp4 3.5 MB
- Part 08-Module 03-Lesson 01_Assessing Data/14. Programatic Assessment -Bk_Ve3-4eps.mp4 3.5 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/14. 141 Assess Intro V4-mdrAdtziXh4.mp4 3.5 MB
- Part 15-Module 02-Lesson 05_Trees/17. Heap Implementation-2LAdml6_pDY.mp4 3.5 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/33. Congrats-Qy8VYdqoxGA.mp4 3.5 MB
- Part 08-Module 03-Lesson 01_Assessing Data/18. Tidiness Programmatic Assessment -YrX-oiFilyA.mp4 3.5 MB
- Part 12-Module 01-Lesson 01_GitHub Review/15. Starring interesting repositories-ZwMY5rAAd7Q.mp4 3.5 MB
- Part 09-Module 01-Lesson 01_Introduction to Data Visualization/09. Scatter Plots -DvlxZ37O4i8.mp4 3.5 MB
- Part 04-Module 01-Lesson 14_Regression/06. Scatter Plots -DvlxZ37O4i8.mp4 3.5 MB
- Part 09-Module 01-Lesson 01_Introduction to Data Visualization/21. What's Next-AwpX6HkhL0k.mp4 3.4 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/18. More Caution with Correlation-TU63rBOwXQ8.mp4 3.4 MB
- Part 08-Module 03-Lesson 01_Assessing Data/04. Unclean Data Dirty Messy -WG6mil60jq0.mp4 3.4 MB
- Part 04-Module 01-Lesson 04_Probability/08. Two Flips 1-yUIz7SgUwJg.mp4 3.4 MB
- Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/13. Worksheets-2xRKvQTRtlk.mp4 3.4 MB
- Part 04-Module 01-Lesson 08_Python Probability Practice/04. Simulating Many Coin Flips-AqpWQIj2V5Y.mp4 3.4 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/22. Understanding Noise Age to Age Months-E3NhvAC3Ghw.mp4 3.4 MB
- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/11. Ud1110 IntroPy L5 44 Bye Bye!-lRYvuMf33eY.mp4 3.4 MB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/01. Intro Project Explore Weather Trends-xneztkf0TsY.mp4 3.4 MB
- Part 16-Module 01-Lesson 04_Decision Trees/01. Welcome To Decision Trees-5eAHVk1-Hz0.mp4 3.4 MB
- Part 18-Module 01-Lesson 05_Scripting/11. Errors And Exceptions-DmthSiy2d0U.mp4 3.4 MB
- Part 16-Module 01-Lesson 04_Decision Trees/11. Min Samples Split-Mt5TWGYacJs.mp4 3.4 MB
- Part 16-Module 01-Lesson 08_Outliers/02. What Causes Outliers-W74CdB_pl5M.mp4 3.4 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/07. 10 Flips 5 Heads-Qm4KTLfFMzo.mp4 3.4 MB
- Part 16-Module 01-Lesson 07_Regressions/23. Errors and Fit Quality-PRQDaHphZhw.mp4 3.4 MB
- Part 16-Module 01-Lesson 10_Feature Scaling/07. Feature Scaling Formula Quiz 1-jOxS1eJRsOk.mp4 3.4 MB
- Part 04-Module 01-Lesson 04_Probability/05. Loaded Coin 2-dGffszQYzqc.mp4 3.4 MB
- Part 04-Module 01-Lesson 11_Confidence Intervals/14. Correct Interpretations of Confidence Intervals-IhYv_SlN7e8.mp4 3.4 MB
- Part 12-Module 01-Lesson 01_GitHub Review/02. GitHub profile important items-prvPVTjVkwQ.mp4 3.4 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/27. Analyzing Two Variables-NRMKNuox9z0.mp4 3.4 MB
- Part 16-Module 01-Lesson 13_PCA/12. Which Data is Ready for PCA-JSVsHbGUuIE.mp4 3.3 MB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/01. Instructor Introduction Juno Lee-to8Pp3PCOZo.mp4 3.3 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-lmuonrQp_lM.mp4 3.3 MB
- Part 16-Module 01-Lesson 09_Clustering/09. K-Means Cluster Visualization-iCTPBcowJRY.mp4 3.3 MB
- Part 16-Module 01-Lesson 14_Validation/06. Where to use training vs. testing data 3-o7LnSu0CEb4.mp4 3.3 MB
- Part 04-Module 01-Lesson 14_Regression/10. What Defines A Line-lTqwhsSNP2c.mp4 3.3 MB
- Part 04-Module 01-Lesson 13_Case Study AB tests/11. Metric - Average Reading Duration-w6Y9ZxHDEbw.mp4 3.3 MB
- Part 02-Module 01-Lesson 02_Functions, Installation and Conditionals/18. Ud1110 IntroPy L250 End Of Lesson 2-UhvyD_60esQ.mp4 3.3 MB
- Part 12-Module 01-Lesson 01_GitHub Review/14. Participating in open source projects 2-elZCLxVvJrY.mp4 3.3 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/25. Scatterplot Matrices-ov--BE6XTZU.mp4 3.3 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/25. Congratulations and Next Steps-ph4p8n-I7vw.mp4 3.3 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/20. Making Sense of Data-z2rZndd-cdc.mp4 3.3 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/12. Plot the Grand Mean-tmdzYKNqDSs.mp4 3.3 MB
- Part 15-Module 02-Lesson 01_Introduction and Efficiency/04. Syntax-08M93RaBSgU.mp4 3.3 MB
- Part 16-Module 01-Lesson 10_Feature Scaling/09. Feature Scaling Formula Quiz 3-bY2fuRkH3iw.mp4 3.3 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/11. From Scatterplots to Predictions-dGS0SKu1ox0.mp4 3.3 MB
- Part 16-Module 01-Lesson 08_Outliers/03. Outlier Selection-zTI5Ci5WWzM.mp4 3.3 MB
- Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/07. Running Totals And Count-rNJwmnzUTxg.mp4 3.3 MB
- Part 16-Module 01-Lesson 03_SVM/17. Separating with the New Feature--_jNi_5zEEQ.mp4 3.3 MB
- Part 16-Module 01-Lesson 07_Regressions/08. Continuous Feature Quiz-TIs9j-QITxw.mp4 3.3 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/04. Plotting Conditional Summaries-wIXO77zyVxs.mp4 3.2 MB
- Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/11. Introduction To Notation-ISkBSUVH49M.mp4 3.2 MB
- Part 16-Module 01-Lesson 03_SVM/20. Playing Around with Kernel Choices-sy_jiSEy-Nw.mp4 3.2 MB
- Part 07-Module 01-Lesson 02_R Basics/09. Getting Help-ABVX527RODE.mp4 3.2 MB
- Part 16-Module 01-Lesson 05_Choose Your Own Algorithm/07. How Does Your Algorithm Compare-B2KnUg5iz0Y.mp4 3.2 MB
- Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/24. There Must Be A Better Way-oBp8YX2AgJw.mp4 3.2 MB
- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/01. Introduction to Advanced SQL-i0VaVPIKUks.mp4 3.2 MB
- Part 16-Module 01-Lesson 07_Regressions/24. Minimizing Sum of Squared Errors-E1XzT619Eug.mp4 3.2 MB
- Part 04-Module 01-Lesson 14_Regression/21. Recap-DzMi27LI5l4.mp4 3.2 MB
- Part 16-Module 01-Lesson 03_SVM/01. Welcome to SVM-gnAmmyQ_ZcQ.mp4 3.2 MB
- Part 16-Module 01-Lesson 07_Regressions/12. Slope Quiz-Kn9v0KGDsvc.mp4 3.2 MB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/19. Order By Part II-XQCjREdOqwE.mp4 3.2 MB
- Part 03-Module 03-Lesson 01_Basic SQL/21. Order By Part II-XQCjREdOqwE.mp4 3.2 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/29. Conclusion-SRXNBlvW-xw.mp4 3.2 MB
- Part 16-Module 01-Lesson 12_Feature Selection/04. Visualizing Your New Feature-Tp5WCAJiCRY.mp4 3.2 MB
- Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/17. Shape of Distributions-UnN99AAYf8k.mp4 3.2 MB
- Part 16-Module 01-Lesson 13_PCA/16. Compression While Preserving Information-_TJeoCTDykE.mp4 3.2 MB
- Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/10. Aggregates in Window Functions-Dxew5w3VF7k.mp4 3.2 MB
- Part 08-Module 02-Lesson 01_Gathering Data/25. You Can Iterate-QsJqoJYhTiw.mp4 3.2 MB
- Part 18-Module 01-Lesson 05_Scripting/13. Handling Error Specifying Exceptions-EHW5I7shdJg.mp4 3.2 MB
- Part 15-Module 02-Lesson 06_Graphs/13. Eulerian Path-zS34kHSo7fs.mp4 3.1 MB
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- Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/19. Introduction to Percentiles-t7SX2ZEdxKA.mp4 3.1 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/13. Friending Rate-J0IqMgkl1Ws.mp4 3.1 MB
- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/05. Continue Crawl Solution-cFwJ_MO3ofs.mp4 3.1 MB
- Part 16-Module 01-Lesson 12_Feature Selection/20. Using Lasso in sklearn Quiz-xYxD4GD1woo.mp4 3.1 MB
- Part 08-Module 02-Lesson 01_Gathering Data/12. Source Downloading Files From The Internet II-M0qR7to1fl4.mp4 3.1 MB
- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/16. Performance Tuning 2-arMtEhSoq7E.mp4 3.1 MB
- Part 03-Module 02-Lesson 03_Data Analysis Process - Case Study 2/01. Lesson Overview-2X8GJyZUlDo.mp4 3.1 MB
- Part 18-Module 01-Lesson 03_Control Flow/34. Congrats!-vDoqpwCHxs4.mp4 3.1 MB
- Part 16-Module 01-Lesson 12_Feature Selection/01. Why Feature Selection-S-xe0-XNo4I.mp4 3.1 MB
- Part 03-Module 03-Lesson 02_SQL Joins/14. JOINs-CxuHtd1Daqk.mp4 3.1 MB
- Part 16-Module 01-Lesson 14_Validation/05. Where to use training vs. testing data 2-K4gGK4ScT7M.mp4 3.1 MB
- Part 16-Module 01-Lesson 14_Validation/14. On to the Validation Mini-Project-JEK7-ocWu0M.mp4 3.1 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/11. Plotting It All Together-Y4rUkaYQQKI.mp4 3.1 MB
- Part 04-Module 01-Lesson 12_Hypothesis Testing/06. Types Of Errors - Part I-aw6GMxIvENc.mp4 3.1 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/05. Overplotting-DlDQLxYRB4w.mp4 3.1 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/23. True Positives in Eigenfaces-bgT8sWuV2lc.mp4 3.1 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/19. True Positives in Eigenfaces-bgT8sWuV2lc.mp4 3.1 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/05. Overplotting-qX2W99WrP0k.mp4 3.1 MB
- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/19. Congratulations!-_FPpbuuW-1o.mp4 3.1 MB
- Part 09-Module 01-Lesson 01_Introduction to Data Visualization/11. Correlation Coefficients-rL5Bn8Fi-zE.mp4 3.0 MB
- Part 04-Module 01-Lesson 14_Regression/08. Correlation Coefficients-rL5Bn8Fi-zE.mp4 3.0 MB
- Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/26. Notation for the Mean-3EF15AoRxyM.mp4 3.0 MB
- Part 12-Module 01-Lesson 01_GitHub Review/11. Reflect on your commit messages-_0AHmKkfjTo.mp4 3.0 MB
- Part 02-Module 01-Lesson 01_Numbers and Strings/01. Instructor Introduction Charlie And Phillip-8ar0mETDrZw.mp4 3.0 MB
- Part 04-Module 01-Lesson 13_Case Study AB tests/05. Experiment I-JLKAdT2JESk.mp4 3.0 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/06. coord_trans()-sQe7vTeO0yU.mp4 3.0 MB
- Part 04-Module 01-Lesson 04_Probability/09. Two Flips 2-uhrL5fatt3E.mp4 3.0 MB
- Part 15-Module 02-Lesson 02_List-Based Collections/02. Lists-KUQSgUMtyv0.mp4 3.0 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/09. Third Quantitative Variable-gpwlI9Wa8xI.mp4 3.0 MB
- Part 04-Module 01-Lesson 04_Probability/11. Two Flips 4-bNoS6LQEFrI.mp4 3.0 MB
- Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/17. Aggregations-4nGL3y3Nq-0.mp4 3.0 MB
- Part 16-Module 01-Lesson 14_Validation/08. K-Fold Cross Validation-ADNFKiAjmWA.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 04-Module 01-Lesson 05_Binomial Distribution/13. Binomial 4-lPrKmvckG4E.mp4 3.0 MB
- Part 08-Module 04-Lesson 01_Cleaning Data/04. Manual Vs Programmatic Cleaning -AQFBVQy_HyY.mp4 3.0 MB
- Part 16-Module 01-Lesson 07_Regressions/15. Adding An Intercept-tUeaXXT2oDI.mp4 3.0 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/18. Labeling Plots-llvIDIu3Sw8.mp4 2.9 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/06. Classification By Eye-_kmNXcYlrco.mp4 2.9 MB
- Part 04-Module 01-Lesson 14_Regression/04. Introduction to Linear Regression-RD4zbBvXDnM.mp4 2.9 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-5Tbd3_a5Vug.mp4 2.9 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/28. Analyzing Three or More Variables-hcGeA_0nru8.mp4 2.9 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/33. Bayes' Rule and Robotics-meNSO42JF6I.mp4 2.9 MB
- Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/23. Marks And Filters-FeYRmZHHu0A.mp4 2.9 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/03. Supervised Classification Example-buxApBhZCO0.mp4 2.9 MB
- Part 02-Module 01-Lesson 03_Data Structures and Loops/01. Ud1110 IntroPy L301 Welcome To Lesson 3-ikOWhrOUgLc.mp4 2.9 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/14. Friendships Initiated-tNKpdmXj6gg.mp4 2.9 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/22. Clean Code 2 Solution-ncqhpqt0Mik.mp4 2.9 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/06. Classification By Eye-xeMDpSRTLWc.mp4 2.9 MB
- Part 16-Module 01-Lesson 12_Feature Selection/04. Visualizing Your New Feature-Ilu1JjjAbwA.mp4 2.9 MB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/09. Asking Questions-EvhIgrXtOao.mp4 2.9 MB
- Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/06. 5 Number Summary to Variance-Ljhau0hrZ1g.mp4 2.9 MB
- Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/01. Instructors Introduction-lIvm8urf4GE.mp4 2.9 MB
- Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/16. Comparing Row to Previous Row-Z_x5ZJyDZog.mp4 2.9 MB
- Part 16-Module 01-Lesson 07_Regressions/14. Predictions Using Regression-cUhgZ2BnWq0.mp4 2.9 MB
- Part 10-Module 01-Lesson 01_Congratulations & Next Steps/03. INTRODUÇÃO AO PROJETO PRINCIPAL V2---9IFCNBM6Y.mp4 2.9 MB
- Part 04-Module 01-Lesson 12_Hypothesis Testing/01. Hypothesis Testing Introduction-Qi6F2rJAmrA.mp4 2.8 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/10. Cancer Probabilities-CMQBKuYjPBM.mp4 2.8 MB
- Part 18-Module 01-Lesson 05_Scripting/29. Conclusion-rEMrswkLvh8.mp4 2.8 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/09. Gather Open Jupyter Notebook-IaExjsrVMgQ.mp4 2.8 MB
- Part 14-Module 03-Lesson 01_Craft Your Cover Letter/06. Write the Conclusion-i3ozyhGPmIg.mp4 2.8 MB
- Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/02. Introduction to Subqueries-s8ZJMj4gscY.mp4 2.8 MB
- Part 16-Module 01-Lesson 13_PCA/17. Composite Features-0ZBp8oWySAc.mp4 2.8 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/12. Plot the Grand Mean-pxaXkCjukGM.mp4 2.8 MB
- Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/12. What Can You Create In Tableau-gNqIvf5iJA8.mp4 2.8 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/16. Statistics 'by' Gender-GTLvqNrAETc.mp4 2.8 MB
- Part 16-Module 01-Lesson 09_Clustering/13. Some challenges of k-means-e2CdlG5P4WA.mp4 2.8 MB
- Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/04. What is Data-ldTDAjrVsA8.mp4 2.8 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/14. Disease Test 1-05upwXtARuo.mp4 2.8 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/15. Assess Visual-PVbOzw5libM.mp4 2.8 MB
- Part 15-Module 02-Lesson 05_Trees/02. Tree Basics-oaxLPzaXRDc.mp4 2.8 MB
- Part 04-Module 01-Lesson 14_Regression/02. Introduction to Machine Learning-pLcFPPI1L-0.mp4 2.8 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/16. Strong Correlations-QsWzjYigYB4.mp4 2.8 MB
- Part 08-Module 02-Lesson 01_Gathering Data/08. Scraping Webpages -bAeGbBBAIkE.mp4 2.8 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/13. Exploring with Bin Width-TYN_LGAV3m8.mp4 2.8 MB
- Part 15-Module 02-Lesson 08_Technical Interview - Python/10. Interview Wrap-Up-sz4Ekcu9a_Q.mp4 2.8 MB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/07. Packages Overview-sCQoQsmI3F0.mp4 2.8 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/17. Price vs Carat and Color-ziYBjY1kTC8.mp4 2.8 MB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/26. Communicating Results Example-Ae_UOATWmDM.mp4 2.8 MB
- Part 16-Module 01-Lesson 09_Clustering/03. How Many Clusters-R6oIvdBtsZw.mp4 2.8 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/17. Powell Precision and Recall-q_zfkCwRg1w.mp4 2.8 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/21. Powell Precision and Recall-q_zfkCwRg1w.mp4 2.8 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/01. Welcome!-rkWU07ZDYzA.mp4 2.8 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/20. Prices Over Time-aj_QpA9GygI.mp4 2.8 MB
- Part 04-Module 01-Lesson 11_Confidence Intervals/01. Confidence Intervals Introduction-crleT4000ak.mp4 2.8 MB
- Part 15-Module 02-Lesson 06_Graphs/04. Connectivity-4x6u2KtNDg4.mp4 2.8 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/19. Noisy Scatterplots-HNo0KSYM2b4.mp4 2.8 MB
- Part 12-Module 01-Lesson 01_GitHub Review/12. Participating in open source projects-OxL-gMTizUA.mp4 2.8 MB
- Part 16-Module 01-Lesson 13_PCA/22. Neighborhood Composite Feature-adXoa85rnPM.mp4 2.8 MB
- Part 16-Module 01-Lesson 13_PCA/19. Advantages of Maximal Variance-TbT6a6qaj08.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 07-Module 01-Lesson 02_R Basics/12. Factor Variables-0bkvt4KEqjE.mp4 2.8 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/13. Binomial 4-mvJUNYfHngY.mp4 2.8 MB
- Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/01. Introduction-SvdlBB-ZjcQ.mp4 2.8 MB
- Part 16-Module 01-Lesson 09_Clustering/04. Match Points with Clusters-wJV1cRjmIYY.mp4 2.8 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/15. Assess Solution --faitcQ7SKs.mp4 2.7 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/08. Faceting-x4V3IyECIN4.mp4 2.7 MB
- Part 08-Module 04-Lesson 01_Cleaning Data/05. Data Cleaning Process -BS_p9kwMEMk.mp4 2.7 MB
- Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.mp4 2.7 MB
- Part 16-Module 01-Lesson 12_Feature Selection/17. Lasso Code Quiz-PlFG87qPSB4.mp4 2.7 MB
- Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/43. Table Calculations-VJfCNO0J9jY.mp4 2.7 MB
- Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/31. Small Multiples And Dual Axis-bx6MxsoDqsI.mp4 2.7 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/09. Connecting Demand and Price Distribution-_HWtxJRaawA.mp4 2.7 MB
- Part 04-Module 01-Lesson 06_Conditional Probability/02. Medical Example 1-mFfbts1lAEo.mp4 2.7 MB
- Part 16-Module 01-Lesson 13_PCA/22. Neighborhood Composite Feature-WxAWorS2SLg.mp4 2.7 MB
- Part 16-Module 01-Lesson 04_Decision Trees/16. Entropy Calculation Part 1-K-rQ8KnmmH8.mp4 2.7 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/03. Third Qualitative Variable-qXvnpC2UdVU.mp4 2.7 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/33. Posterior Probabilities-OIxLJeZ_jNI.mp4 2.7 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/28. Getting Logical-TjY0Q66Yh-s.mp4 2.7 MB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/08. Maximum-MZoYGBZTh-g.mp4 2.7 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/32. Chris or Sara-c-pfYggUsdQ.mp4 2.7 MB
- Part 11-Module 01-Lesson 06_Undoing Changes/06. Course Outro-twn_cheqoK8.mp4 2.7 MB
- Part 06-Module 01-Lesson 01_Welcome to Term 2!/01. Welcome To DAND Term 2-OOcC8OUJmc0.mp4 2.7 MB
- Part 16-Module 01-Lesson 07_Regressions/33. What Data Is Good For Linear Regression-KFVdS328iC8.mp4 2.7 MB
- Part 16-Module 01-Lesson 07_Regressions/25. Algorithms for Minimizing Squared Errors-Dw_9Dp6wcJ8.mp4 2.7 MB
- Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/06. Connecting To Data-WmsAtqbwRI0.mp4 2.6 MB
- Part 09-Module 01-Lesson 02_Design/22. Onwards!-i-ulsdVHhCc.mp4 2.6 MB
- Part 16-Module 01-Lesson 07_Regressions/32. Visualizing Regression-zQAHZhcsXoQ.mp4 2.6 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/19. Linear Models in R-aUc0FKD4834.mp4 2.6 MB
- Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-T0EjWSjLGjQ.mp4 2.6 MB
- Part 16-Module 01-Lesson 07_Regressions/28. Evaluating Regression by Eye-hS7cpq-sOeQ.mp4 2.6 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/11. Gather CSV Files-FpWi4tExVwg.mp4 2.6 MB
- Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/17. Type And Quality Plot - Part 2-Ui1rF6McOBA.mp4 2.6 MB
- Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/16. Subquery Conclusion-TUYvx2K9-5k.mp4 2.6 MB
- Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/40. Calculated Fields-tR-K9Mvd4B0.mp4 2.6 MB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-Ny2vcRZ6Aws.mp4 2.6 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 01-Lesson 06_Undoing Changes/05. Undoing Changes--_PPVk2UZMU.mp4 2.6 MB
- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/11. UNION Motivation-0eRr2K8lo-I.mp4 2.6 MB
- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/08. Self JOINs-tw_VzEGBOvI.mp4 2.6 MB
- Part 16-Module 01-Lesson 03_SVM/26. SVM Mini-Project Video-mENzEtsiOmI.mp4 2.6 MB
- Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/02. Histograms-4t10RgUv2Fc.mp4 2.6 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/09. Confusion Matrix False Alarms-611qWzIxGmU.mp4 2.6 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/14. Confusion Matrix False Alarms-611qWzIxGmU.mp4 2.6 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/11. Probability Given Test-41HCYR-NW-w.mp4 2.6 MB
- Part 18-Module 01-Lesson 05_Scripting/05. Running A Python Script-vMKemwCderg.mp4 2.6 MB
- Part 07-Module 01-Lesson 02_R Basics/14. Setting Levels of Ordered Factors-HSeIrqW-YGw.mp4 2.6 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/01. Multivariate Data-jsg6lhrJN1g.mp4 2.5 MB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/06. Quadratics 3-YSMWpFM92S0.mp4 2.5 MB
- Part 18-Module 01-Lesson 02_Data Types and Operators/38. Conclusion-LLEZadlXM8A.mp4 2.5 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/03. Scatterplots-ZcavaOLXPSs.mp4 2.5 MB
- Part 09-Module 01-Lesson 04_Making Dashboards & Stories in Tableau/09. Extra Practice With Dashboards-Va2zNfnUC6o.mp4 2.5 MB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-vMAl1m8ZtoI.mp4 2.5 MB
- Part 15-Module 02-Lesson 05_Trees/16. Heapify-CAbDbiCfERY.mp4 2.5 MB
- Part 16-Module 01-Lesson 07_Regressions/01. Continuous Output Quiz-udJvijJvs1M.mp4 2.5 MB
- Part 07-Module 01-Lesson 02_R Basics/11. R Markdown Documents-oBns-s2TDgI.mp4 2.5 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-8jcCGD986jk.mp4 2.5 MB
- Part 16-Module 01-Lesson 10_Feature Scaling/12. Quiz on Algorithms Requiring Rescaling-ntRkOeSZutw.mp4 2.5 MB
- Part 04-Module 01-Lesson 03_Admissions Case Study/11. Dangers Of Statistics-UYZXqP562qg.mp4 2.5 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/17. How Many Schroeder Predictions-n7gp8USw0Jw.mp4 2.5 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/13. How Many Schroeder Predictions-n7gp8USw0Jw.mp4 2.5 MB
- Part 16-Module 01-Lesson 04_Decision Trees/09. [object Object]-sCZI5gWS6mg.mp4 2.5 MB
- Part 04-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-VLLG0rYC7To.mp4 2.5 MB
- Part 04-Module 01-Lesson 12_Hypothesis Testing/13. Using A Confidence Interval to Make A Decision-MghT95b6LbQ.mp4 2.5 MB
- Part 16-Module 01-Lesson 13_PCA/14. Measurable vs. Latent Features Quiz-UeSD19oit_w.mp4 2.5 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/07. ggpairs Function-XUZIGbX3JIg.mp4 2.5 MB
- Part 16-Module 01-Lesson 12_Feature Selection/11. Bias, Variance, and Number of Features-mpYpT6nZVEo.mp4 2.5 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/10. Gather Unzip File 1-V7STsHoZ2gA.mp4 2.5 MB
- Part 15-Module 02-Lesson 04_Maps and Hashing/02. Sets and Maps-gmIb-qZhTDQ.mp4 2.5 MB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/16. ORDER BY Statement-wqj2As31LqI.mp4 2.5 MB
- Part 03-Module 03-Lesson 01_Basic SQL/18. ORDER BY Statement-wqj2As31LqI.mp4 2.5 MB
- Part 16-Module 01-Lesson 10_Feature Scaling/09. Feature Scaling Formula Quiz 3-iY_sO4d23gY.mp4 2.5 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/29. Analyzing One Variable-yqwCYeaQAl0.mp4 2.5 MB
- Part 12-Module 01-Lesson 01_GitHub Review/15. Starring interesting repositories-U3FUxkm1MxI.mp4 2.4 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/10. Binomial 1-RBfFHxEjsIU.mp4 2.4 MB
- Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program!/02. Projects Term 1 V2-1e1y6QB34YM.mp4 2.4 MB
- Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/01. Introduction-2Y279421n3A.mp4 2.4 MB
- Part 16-Module 01-Lesson 07_Regressions/26. Why Minimize SSE-c1gvsNx_ypg.mp4 2.4 MB
- Part 16-Module 01-Lesson 11_Text Learning/03. A Very Nice Day-VERLCqDewrM.mp4 2.4 MB
- Part 09-Module 01-Lesson 04_Making Dashboards & Stories in Tableau/01. Communicating With Your Data-KDnca1zszIo.mp4 2.4 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/27. Analysis and Visualization (Before Cleaning)-jJH3H8Rqv8s.mp4 2.4 MB
- Part 16-Module 01-Lesson 11_Text Learning/12. Order of Operations in Text Processing-Fi3uuGj8bhs.mp4 2.4 MB
- Part 16-Module 01-Lesson 08_Outliers/05. Outlier Detection Using Residual Errors-ZlDdxWYv6jw.mp4 2.4 MB
- Part 16-Module 01-Lesson 13_PCA/27. PCA on the Enron Finance Data-6ufIq2nrTwg.mp4 2.4 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/05. Frances Gerety-n9heeZ1Dw8A.mp4 2.4 MB
- Part 09-Module 01-Lesson 02_Design/02. Lesson Overview-Gg77PqkQkhs.mp4 2.4 MB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/28. Conclusion-xYqxZQmXCdI.mp4 2.4 MB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/41. AND BETWEEN Operators-nBuDPneWcKY.mp4 2.4 MB
- Part 03-Module 03-Lesson 01_Basic SQL/43. AND BETWEEN Operators-nBuDPneWcKY.mp4 2.4 MB
- Part 04-Module 01-Lesson 06_Conditional Probability/06. Medical Example 5-ys9w-NNKCcU.mp4 2.4 MB
- Part 08-Module 04-Lesson 01_Cleaning Data/18. You Can Iterate -CDRmFJHywp8.mp4 2.4 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-t22oDruXhuo.mp4 2.4 MB
- Part 16-Module 01-Lesson 13_PCA/24. Maximum Number of PCs Quiz-q4c5n5W2aUc.mp4 2.4 MB
- Part 16-Module 01-Lesson 07_Regressions/10. Equation of the Regression Line---Pc1ASVjmM.mp4 2.4 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/02. Accuracy Review-g3sxDtlGlAM.mp4 2.3 MB
- Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/06. Subqueries Part II-jko-RrZd0R8.mp4 2.3 MB
- Part 16-Module 01-Lesson 14_Validation/04. Where to use training vs. testing data 1-z2R5CqjXrkA.mp4 2.3 MB
- Part 15-Module 02-Lesson 05_Trees/08. Search and Delete-KbL-HK3ztX8.mp4 2.3 MB
- Part 04-Module 01-Lesson 13_Case Study AB tests/09. Experiment II-fq4eO7CybA4.mp4 2.3 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/03. Scatterplot Review-e_8DmUBHAao.mp4 2.3 MB
- Part 16-Module 01-Lesson 03_SVM/02. Separating Line-mzKPXz-Yhwk.mp4 2.3 MB
- Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/13. Aliases for Multiple Window Functions-RWe03bULYnM.mp4 2.3 MB
- Part 16-Module 01-Lesson 07_Regressions/13. Intercept Quiz-f_SBhjbfmPw.mp4 2.3 MB
- Part 04-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-udduksMWMB4.mp4 2.3 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/23. Equation for Precision-CStZqZRe6Mk.mp4 2.3 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/27. Equation for Precision-CStZqZRe6Mk.mp4 2.3 MB
- Part 16-Module 01-Lesson 07_Regressions/09. Supervised Learning w Continuous Output-F7PIJM0q524.mp4 2.3 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/14. Adjusting the Bin Width-AY5nywPa3GI.mp4 2.3 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/16. NB Decision Boundary in Python-pauohSxuCVs.mp4 2.3 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/23. Clean Test 2-CyeB16-eGSg.mp4 2.3 MB
- Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/47. What's Next-y46uDftUXHo.mp4 2.3 MB
- Part 04-Module 01-Lesson 04_Probability/14. One Head 2-JHx3ucNS9f4.mp4 2.3 MB
- Part 03-Module 03-Lesson 05_SQL Data Cleaning/14. COALESCE-86vgu-ECBCQ.mp4 2.3 MB
- Part 12-Module 01-Lesson 01_GitHub Review/07. Quick Fixes #2-It6AEuSDQw0.mp4 2.3 MB
- Part 16-Module 01-Lesson 05_Choose Your Own Algorithm/09. L4_Mini Project-CGPO68cOCgc.mp4 2.2 MB
- Part 04-Module 01-Lesson 13_Case Study AB tests/14. Analyzing Multiple Metrics-DtZghKNa7Ak.mp4 2.2 MB
- Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/09. Renaming Columns-3Oo4gUP2_Rw.mp4 2.2 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/10. Gather Unzip Solution -Pzy8nHA_EJc.mp4 2.2 MB
- Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/23. Window Functions Conclusion-2ZdocDMw7D8.mp4 2.2 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/04. Normalizing 1-9SbUxcyDTaQ.mp4 2.2 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/06. Estimating Your Audience Size-FfzVPWM5DZ8.mp4 2.2 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 04-Module 01-Lesson 01_Descriptive Statistics - Part I/09. Data Types Summary-T-KrQoAJUpI.mp4 2.2 MB
- Part 04-Module 01-Lesson 11_Confidence Intervals/05. Confidence Interval for a Difference In Means-8hrWGzjyhck.mp4 2.2 MB
- Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/03. What Is Coming Up-oDJsnQcCPr4.mp4 2.2 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/08. The Demand of Diamonds-y8g6YeD7Gyk.mp4 2.2 MB
- Part 16-Module 01-Lesson 03_SVM/07. SVM Response to Outliers-w-czJptEyBk.mp4 2.2 MB
- Part 16-Module 01-Lesson 07_Regressions/03. Age Continuous or Discrete-OrPlWwv19Jc.mp4 2.2 MB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/32. LIKE Operator-O5z6eWkNip4.mp4 2.2 MB
- Part 03-Module 03-Lesson 01_Basic SQL/34. LIKE Operator-O5z6eWkNip4.mp4 2.2 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/13. Normalizing Probability-V_Gqm42WodI.mp4 2.2 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/24. Equation for Recall-j2SP83afRS0.mp4 2.2 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/28. Equation for Recall-j2SP83afRS0.mp4 2.2 MB
- Part 16-Module 01-Lesson 03_SVM/07. SVM Response to Outliers-TEAGqUkQVdM.mp4 2.2 MB
- Part 04-Module 01-Lesson 03_Admissions Case Study/09. Aggregation 3-YkaVgZ-yFrM.mp4 2.2 MB
- Part 03-Module 03-Lesson 03_SQL Aggregations/22. Having-D4gmN0vnk58.mp4 2.2 MB
- Part 04-Module 01-Lesson 14_Regression/01. Regression Introduction-PKqSS0TzXeA.mp4 2.2 MB
- Part 16-Module 01-Lesson 04_Decision Trees/20. Entropy Calculation Part 5-B_fHrMIzIgE.mp4 2.2 MB
- Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-G28YyiGFGWA.mp4 2.1 MB
- Part 08-Module 02-Lesson 01_Gathering Data/17. JSON Files In Python-8JdUknZP59Q.mp4 2.1 MB
- Part 04-Module 01-Lesson 13_Case Study AB tests/18. Conclusion-qmGjRpMVBz8.mp4 2.1 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/22. A Bigger, Better Data Set-q46nO0mznXM.mp4 2.1 MB
- Part 15-Module 02-Lesson 04_Maps and Hashing/08. Hash Maps-A-ahUVi8pYQ.mp4 2.1 MB
- Part 04-Module 01-Lesson 13_Case Study AB tests/01. Case Study Introduction-J5uvdPxHIfs.mp4 2.1 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/05. Thinking in Ratios-r4ZOwz3_oXs.mp4 2.1 MB
- Part 16-Module 01-Lesson 14_Validation/07. Where to use training vs. testing data 4-I_v6ueT0k3M.mp4 2.1 MB
- Part 16-Module 01-Lesson 04_Decision Trees/05. Constructing a Decision Tree 2nd Split-CIxvkVy1UBI.mp4 2.1 MB
- Part 03-Module 03-Lesson 03_SQL Aggregations/03. Data Types and NULLs-RgTcYwKqtYI.mp4 2.1 MB
- Part 03-Module 03-Lesson 02_SQL Joins/03. Your First JOIN-HkX9fkNRbU8.mp4 2.1 MB
- Part 03-Module 03-Lesson 01_Basic SQL/27. WHERE with Non-Numeric Data-_pLx7MHOyjo.mp4 2.1 MB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/25. WHERE with Non-Numeric Data-_pLx7MHOyjo.mp4 2.1 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/12. Limiting the Axes-1W3QAzrybMk.mp4 2.1 MB
- Part 16-Module 01-Lesson 03_SVM/08. SVM Outlier Practice-WxAO6ByCvew.mp4 2.1 MB
- Part 03-Module 03-Lesson 05_SQL Data Cleaning/17. Data Cleaning Conclusion-KkHqnvD9BWY.mp4 2.1 MB
- Part 04-Module 01-Lesson 14_Regression/15. Fitting A Regression Line In Python-0CiMDbEUeS4.mp4 2.1 MB
- Part 16-Module 01-Lesson 07_Regressions/22. Error Quiz-PYNWtLgtRfU.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 04-Module 01-Lesson 06_Conditional Probability/04. Medical Example 3-Rf6WfB_1EJQ.mp4 2.1 MB
- Part 07-Module 01-Lesson 02_R Basics/17. Congratulations-GxhPaVbDHnw.mp4 2.1 MB
- Part 04-Module 01-Lesson 03_Admissions Case Study/01. Admissions Case Study Introduction-FGbxq1hQgtk.mp4 2.1 MB
- Part 02-Module 01-Lesson 02_Functions, Installation and Conditionals/01. Ud1110 IntroPy L201 Welcome Back!-oCCMSsCc4Iw.mp4 2.1 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/02. Cancer Test-FnNveASivMA.mp4 2.1 MB
- Part 04-Module 01-Lesson 04_Probability/15. One Of Three 1-rxfHfjy9Mm4.mp4 2.1 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/07. Total Probability-fAaE5K9OZJc.mp4 2.1 MB
- Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/04. Gathering Data-r7BHGq_0P9Q.mp4 2.1 MB
- Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/05. Data Types-gT6EYlsLZkE.mp4 2.1 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/09. Arrangements-NRPcnpmFCg8.mp4 2.1 MB
- Part 15-Module 02-Lesson 07_Case Studies in Algorithms/02. Shortest Path Problem-huKUM97Vve8.mp4 2.1 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/13. From Scatterplots to Decision Surfaces-gbkORDbJM50.mp4 2.1 MB
- Part 04-Module 01-Lesson 08_Python Probability Practice/08. Python Probability Conclusion-4JYar5GykXk.mp4 2.1 MB
- Part 03-Module 03-Lesson 03_SQL Aggregations/05. COUNT NULLs-ngxgqfFFFLQ.mp4 2.0 MB
- Part 04-Module 01-Lesson 06_Conditional Probability/09. Medical Example 8-7k5oAaZamCA.mp4 2.0 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/20. Calculating NB Accuracy-m989etSymQQ.mp4 2.0 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-Lb_v4vj3TNs.mp4 2.0 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/08. Filling in a Confusion Matrix-Lb_v4vj3TNs.mp4 2.0 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/22. Robot Sensing 2-aBBmlnd7okQ.mp4 2.0 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/24. Cancer Test-uHIZl6MCiPY.mp4 2.0 MB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/05. Why Businesses Choose Databases-j4ey7--h9r8.mp4 2.0 MB
- Part 03-Module 03-Lesson 01_Basic SQL/06. Why Businesses Choose Databases-j4ey7--h9r8.mp4 2.0 MB
- Part 08-Module 02-Lesson 01_Gathering Data/22. Why Businesses Choose Databases-j4ey7--h9r8.mp4 2.0 MB
- Part 16-Module 01-Lesson 13_PCA/20. Maximal Variance and Information Loss-DX_f02bUHT0.mp4 2.0 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/17. Tenure-jKZAcZw9xLA.mp4 2.0 MB
- Part 16-Module 01-Lesson 07_Regressions/22. Error Quiz-O5B-Z5SUoc8.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 04-Module 01-Lesson 09_Normal Distribution Theory/07. Quadratics 4-yimIE9fCvi8.mp4 2.0 MB
- Part 16-Module 01-Lesson 09_Clustering/16. Counterintuitive Clusters 2-xSQTzAeeoEc.mp4 2.0 MB
- Part 16-Module 01-Lesson 03_SVM/13. Nonlinear SVMs-6UgInp_gf1w.mp4 2.0 MB
- Part 04-Module 01-Lesson 03_Admissions Case Study/14. Conclusion-XiR_37bYA84.mp4 2.0 MB
- Part 16-Module 01-Lesson 04_Decision Trees/30. Information Gain Calculation Part 9-V-jzhJoeZj8.mp4 2.0 MB
- Part 03-Module 03-Lesson 01_Basic SQL/46. OR Operator-3vLGEuXAAvA.mp4 1.9 MB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/44. OR Operator-3vLGEuXAAvA.mp4 1.9 MB
- Part 08-Module 02-Lesson 01_Gathering Data/14. Text Files In Python 2-9YPOlROXNZM.mp4 1.9 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/14. Clarity and Price-b7oUjvNJWCc.mp4 1.9 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/01. Binomial-x1yamZeOMPY.mp4 1.9 MB
- Part 16-Module 01-Lesson 04_Decision Trees/28. Information Gain Calculation Part 7-EDFp4wU5BMo.mp4 1.9 MB
- Part 16-Module 01-Lesson 04_Decision Trees/27. Information Gain Calculation Part 6-zqmrW9N9WGw.mp4 1.9 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/03. Supervised Classification Example-t18YC5rLyWg.mp4 1.9 MB
- Part 18-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Using With-OQ-Y0mMjm00.mp4 1.9 MB
- Part 16-Module 01-Lesson 03_SVM/03. Choosing Between Separating Lines-swoZxkrxIB0.mp4 1.9 MB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/38. NOT Operator-dSQF87oW8a0.mp4 1.9 MB
- Part 03-Module 03-Lesson 01_Basic SQL/40. NOT Operator-dSQF87oW8a0.mp4 1.9 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/05. 5 Flips 2 Heads-lhhUjxnbad8.mp4 1.9 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/13. Price vs. Carat and Clarity-J0Ls7F-lN4o.mp4 1.9 MB
- Part 16-Module 01-Lesson 03_SVM/14. Nonlinear Data-PxE2bbG2Hkw.mp4 1.9 MB
- Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/31. Descriptive Statistics Summary-Fe7Gta2SfLA.mp4 1.9 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/18. Classifying Chavez Correctly 1-Jbqf8OBORDg.mp4 1.9 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/14. Classifying Chavez Correctly 1-Jbqf8OBORDg.mp4 1.9 MB
- Part 16-Module 01-Lesson 12_Feature Selection/20. Using Lasso in sklearn Quiz-IC47yHGmgMk.mp4 1.9 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/01. Welcome!-cCOHhYXU6G0.mp4 1.9 MB
- Part 16-Module 01-Lesson 07_Regressions/26. Why Minimize SSE-rexAHoCGFMs.mp4 1.9 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-Uy7b3aMPnEY.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 07-Module 01-Lesson 05_Explore Two Variables/20. Making Sense of Data-ZywJPwlHuh8.mp4 1.8 MB
- Part 07-Module 01-Lesson 02_R Basics/15. Data Munging-q_Ghc6VsDo0.mp4 1.8 MB
- Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/12. Subqueries Using WITH-IszTmDKyKHI.mp4 1.8 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/18. Color and Price-Ck4i1Yk4pT0.mp4 1.8 MB
- Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/01. 26 Spread Part 1-zb76Z_viYLY.mp4 1.8 MB
- Part 16-Module 01-Lesson 07_Regressions/04. Weather Continuous or Discrete-3FO2y4tlZ3A.mp4 1.8 MB
- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/11. UNION 3-oVGmi4zBOT8.mp4 1.8 MB
- Part 16-Module 01-Lesson 13_PCA/07. Center of a New Coordinate System-1ask5zHGQKM.mp4 1.8 MB
- Part 16-Module 01-Lesson 13_PCA/24. Maximum Number of PCs Quiz-oOUx6NHppdQ.mp4 1.8 MB
- Part 16-Module 01-Lesson 04_Decision Trees/22. Information Gain Calculation Part 1-erdekkpG-Do.mp4 1.8 MB
- Part 16-Module 01-Lesson 09_Clustering/05. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.mp4 1.8 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/22. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.mp4 1.8 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.mp4 1.8 MB
- Part 08-Module 03-Lesson 01_Assessing Data/16. Quality Programatic Assessment 2 -Ngl_TsqhMsc.mp4 1.8 MB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-z_eElEkVOPY.mp4 1.8 MB
- Part 16-Module 01-Lesson 04_Decision Trees/05. Constructing a Decision Tree 2nd Split-U2yZxIeG2t0.mp4 1.8 MB
- Part 16-Module 01-Lesson 07_Regressions/07. Income Continuous or Discrete--uRSI_oybJQ.mp4 1.8 MB
- Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/02. Data Overview-V-iPdJfrscQ.mp4 1.8 MB
- Part 04-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-JWl8lPGhlbY.mp4 1.8 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/10. Moira's Outlier-vxS-Kh4eI0U.mp4 1.8 MB
- Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program!/img/wave.gif 1.8 MB
- Part 06-Module 01-Lesson 01_Welcome to Term 2!/img/wave.gif 1.8 MB
- Part 03-Module 03-Lesson 01_Basic SQL/37. IN Operator-_JPO7wwX3uA.mp4 1.8 MB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/35. IN Operator-_JPO7wwX3uA.mp4 1.8 MB
- Part 16-Module 01-Lesson 12_Feature Selection/05. Beware of Feature Bugs!-UjaFiRdHPZg.mp4 1.8 MB
- Part 15-Module 02-Lesson 05_Trees/13. BST Complications-pcB0wV7myy4.mp4 1.7 MB
- Part 16-Module 01-Lesson 08_Outliers/06. Effect of Outlier Removal on Regression-iEvYp4hL6OY.mp4 1.7 MB
- Part 16-Module 01-Lesson 07_Regressions/08. Continuous Feature Quiz-tEU11PXloLU.mp4 1.7 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/25. Robot Sensing 5-PGG9agooCvw.mp4 1.7 MB
- Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.mp4 1.7 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/15. Binomial 6-CQHRYIU6v9Q.mp4 1.7 MB
- Part 16-Module 01-Lesson 07_Regressions/18. AgeNet Worth Regression in sklearn-5aghWw9eIAM.mp4 1.7 MB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/44. OR Statement-DRmkKVhe6-s.mp4 1.7 MB
- Part 03-Module 03-Lesson 01_Basic SQL/46. OR Statement-DRmkKVhe6-s.mp4 1.7 MB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/10. Minimum-tiv8VKPL7jg.mp4 1.7 MB
- Part 16-Module 01-Lesson 07_Regressions/06. Phone Number Continuous or Discrete-FY9_6rOPk6c.mp4 1.7 MB
- Part 09-Module 01-Lesson 04_Making Dashboards & Stories in Tableau/12. Congratulations!-sCQ7ZViODaw.mp4 1.7 MB
- Part 04-Module 01-Lesson 06_Conditional Probability/05. Medical Example 4-pL8Bf6tck_A.mp4 1.7 MB
- Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-HohMRlmHoMQ.mp4 1.7 MB
- Part 16-Module 01-Lesson 03_SVM/18. Practice Making a New Feature-ygveMIhCtDg.mp4 1.7 MB
- Part 04-Module 01-Lesson 06_Conditional Probability/07. Medical Example 6--lC9xztr4zA.mp4 1.7 MB
- Part 16-Module 01-Lesson 03_SVM/21. Kernel and Gamma-znlTyocTgSc.mp4 1.7 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/09. Conditional Means-8oM8KjsntG8.mp4 1.7 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/15. Price vs Carat and Cut-vhDpWgdpSHg.mp4 1.7 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/17. Tenure-095MTpItufM.mp4 1.7 MB
- Part 16-Module 01-Lesson 13_PCA/13. When Does an Axis Dominate-4hJlaYRHdpA.mp4 1.7 MB
- Part 04-Module 01-Lesson 08_Python Probability Practice/01. Python Probability Introduction-tFMdvAN7WDY.mp4 1.6 MB
- Part 03-Module 03-Lesson 01_Basic SQL/30. Arithmetic Operators-fgcJdiNECxI.mp4 1.6 MB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/28. Arithmetic Operators-fgcJdiNECxI.mp4 1.6 MB
- Part 08-Module 03-Lesson 01_Assessing Data/20. You Can Iterate-ZU8EnPbR-pk.mp4 1.6 MB
- Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/28. Show Me-Jpk99mgmwaA.mp4 1.6 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/13. From Scatterplots to Decision Surfaces-DLCq1-kOGX0.mp4 1.6 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/08. Ratio Plot-gfZ7C-QBF0k.mp4 1.6 MB
- Part 16-Module 01-Lesson 12_Feature Selection/18. Lasso Prediction with sklearn Quiz-v2_aFAmQxfw.mp4 1.6 MB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/02. Shape-w5qcGO8krMw.mp4 1.6 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/37. Bayes Rule Conclusion-vlfDGCD8w0s.mp4 1.6 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/16. Disease Test 3-a61GPGk-Qy4.mp4 1.6 MB
- Part 16-Module 01-Lesson 09_Clustering/04. Match Points with Clusters-lS5DfbsWH34.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 04-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-vLhdJtXx060.mp4 1.6 MB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/05. Quadratics 2-N-wpkttwcoA.mp4 1.6 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/09. Connecting Demand and Price Distribution-Rj6g9jpX9MQ.mp4 1.6 MB
- Part 12-Module 01-Lesson 01_GitHub Review/05. Identify fixes for example “bad” profile-ncFtwW5urHk.mp4 1.6 MB
- Part 16-Module 01-Lesson 07_Regressions/13. Intercept Quiz-cuBxHYSPrkA.mp4 1.6 MB
- Part 16-Module 01-Lesson 11_Text Learning/04. Mr. Day Loves a Nice Day-uETh8McUAfY.mp4 1.6 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-4LVRNqpdxsw.mp4 1.6 MB
- Part 16-Module 01-Lesson 10_Feature Scaling/10. MinMax Rescaler Coding Quiz-ePXAzoGVviM.mp4 1.6 MB
- Part 16-Module 01-Lesson 09_Clustering/03. How Many Clusters-8Ygq5dRV0Kk.mp4 1.6 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/26. Robot Sensing 6-hXyXlk0gYzk.mp4 1.6 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/16. Statistics 'by' Gender-VkQwfVQ00EQ.mp4 1.6 MB
- Part 04-Module 01-Lesson 03_Admissions Case Study/04. Admissions 3-iKTYAsZLbhc.mp4 1.6 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/26. Even More Variables-P7BHYXxu4Jg.mp4 1.6 MB
- Part 09-Module 01-Lesson 01_Introduction to Data Visualization/13. Line Plots-GsaBT47pjgQ.mp4 1.6 MB
- Part 03-Module 03-Lesson 03_SQL Aggregations/30. CASE Statements and Aggregations-asSXB6iD3z4.mp4 1.6 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/25. Reassess and Iterate-eu1gO_76pSY.mp4 1.5 MB
- Part 16-Module 01-Lesson 14_Validation/05. Where to use training vs. testing data 2-5v1jxDIwGqk.mp4 1.5 MB
- Part 04-Module 01-Lesson 04_Probability/13. One Head 1-T4A5uyqesjo.mp4 1.5 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/35. Why Is Naive Bayes Naive-Bw6sYY84cYg.mp4 1.5 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/11. Overplotting Revisited-AvokBc1DoEU.mp4 1.5 MB
- Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/01. Lesson Overview-DkjRzNwjSfo.mp4 1.5 MB
- Part 16-Module 01-Lesson 13_PCA/18. Maximal Variance-FpQm_dYA9LM.mp4 1.5 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/22. Unpacking NB Using Bayes Rule-lGREq530kfU.mp4 1.5 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/18. Classifying Chavez Correctly 1-0PFq8zoaNWU.mp4 1.5 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/14. Classifying Chavez Correctly 1-0PFq8zoaNWU.mp4 1.5 MB
- Part 16-Module 01-Lesson 07_Regressions/10. Equation of the Regression Line-O4jFvJWal6s.mp4 1.5 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/15. Disease Test 2-FQM7i07EqGo.mp4 1.5 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/04. 5 Flips 1 Head-VEfOdACY9rA.mp4 1.5 MB
- Part 04-Module 01-Lesson 03_Admissions Case Study/06. Gender Bias-DeWp0hnRq4g.mp4 1.5 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/23. Robot Sensing 3--6l4_oprDOk.mp4 1.5 MB
- Part 07-Module 01-Lesson 07_Explore Many Variables/13. Friending Rate-ZO7y9tsSQ0A.mp4 1.5 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/21. Clean Code 1 Solution -Noykh9Zt6aI.mp4 1.5 MB
- Part 09-Module 01-Lesson 01_Introduction to Data Visualization/05. Data Types Review-xzZZZCZk5YM.mp4 1.5 MB
- Part 16-Module 01-Lesson 10_Feature Scaling/05. Chris's Shirt Size by Our Metric-oWyt6md7P44.mp4 1.5 MB
- Part 16-Module 01-Lesson 11_Text Learning/13. Weighting by Term Frequency-pt_S3HwE5GY.mp4 1.5 MB
- Part 16-Module 01-Lesson 08_Outliers/06. Effect of Outlier Removal on Regression-WDADret_QqE.mp4 1.4 MB
- Part 16-Module 01-Lesson 11_Text Learning/09. Getting Stopwords from NLTK-R0RqC-yerD4.mp4 1.4 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/03. Heads Tails 2-S87Z5DgPJeo.mp4 1.4 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/20. The Spread of Memes-B-khnSU3DfM.mp4 1.4 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 16-Module 01-Lesson 11_Text Learning/08. Stopwords-2FQu07aKLwg.mp4 1.4 MB
- Part 16-Module 01-Lesson 03_SVM/06. SVMs and Tricky Data Distributions-wbCq7wm81BU.mp4 1.4 MB
- Part 04-Module 01-Lesson 06_Conditional Probability/11. Two Coins 1-SYnYIjLpbjE.mp4 1.4 MB
- Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/20. Percentiles-Qro8uvysnys.mp4 1.4 MB
- Part 02-Module 01-Lesson 01_Numbers and Strings/02. Ud1110 IntroPy L1 07 Arithmetic Expression In Python-Iq3ovQqBj1M.mp4 1.4 MB
- Part 16-Module 01-Lesson 12_Feature Selection/18. Lasso Prediction with sklearn Quiz-Xrl2Hd--NWs.mp4 1.4 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/13. Price vs. Carat and Clarity-g88Q5qyiZxE.mp4 1.4 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/14. Clarity and Price-UnkrtPPx9-c.mp4 1.4 MB
- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/17. Performance Tuning 3-hIAE8W6x5O8.mp4 1.4 MB
- Part 16-Module 01-Lesson 11_Text Learning/01. Dimensions when Learning From Text-Njbmexuo7fo.mp4 1.4 MB
- Part 16-Module 01-Lesson 13_PCA/05. Trickiest Data Dimensionality-vIxDt0bNV9g.mp4 1.4 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/27. Normalizing 2-EPrrQaYp7H0.mp4 1.4 MB
- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/11. UNION 1-APRpwqFpGwI.mp4 1.4 MB
- Part 16-Module 01-Lesson 13_PCA/04. Slightly Less Perfect Data-g5yfjKWIKN4.mp4 1.4 MB
- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/05. Coding inside the skeleton loop-MRPdqOwnqag.mp4 1.4 MB
- Part 04-Module 01-Lesson 04_Probability/06. Loaded Coin 3-P4uljJ_OP6I.mp4 1.4 MB
- Part 16-Module 01-Lesson 09_Clustering/06. Moving Centers 2-FY0DXe0lfrI.mp4 1.3 MB
- Part 16-Module 01-Lesson 04_Decision Trees/31. Information Gain Calculation Part 10-XYHTuv2FpWQ.mp4 1.3 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/21. False Negatives in Eigenfaces-bxDutNyYKjE.mp4 1.3 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/25. False Negatives in Eigenfaces-bxDutNyYKjE.mp4 1.3 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/16. Cut and Price-MZyle39D5Ks.mp4 1.3 MB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/04. Entity Relationship Diagrams-YY2TAJLEINA.mp4 1.3 MB
- Part 03-Module 03-Lesson 01_Basic SQL/03. Entity Relationship Diagrams-YY2TAJLEINA.mp4 1.3 MB
- Part 03-Module 03-Lesson 03_SQL Aggregations/16. GROUP BY Part II-0HQ-TshNNQA.mp4 1.3 MB
- Part 16-Module 01-Lesson 13_PCA/02. Trickier Data Dimensionality-s24-ikl3ZAs.mp4 1.3 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/17. Powell Precision and Recall-QWWq77k-K_0.mp4 1.3 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/21. Powell Precision and Recall-QWWq77k-K_0.mp4 1.3 MB
- Part 16-Module 01-Lesson 07_Regressions/02. Continuous Quiz-Bp6oBbLw8qE.mp4 1.3 MB
- Part 04-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-jPspIs-fNxg.mp4 1.3 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/04. More Examples-gj-or8b8TmM.mp4 1.3 MB
- Part 03-Module 03-Lesson 03_SQL Aggregations/04. COUNT-b4FCWAEGmLg.mp4 1.3 MB
- Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/21. Conclusion-UFwgr6tLcuI.mp4 1.3 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/08. Formula-yTr8zCHdo5M.mp4 1.3 MB
- Part 16-Module 01-Lesson 10_Feature Scaling/05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.mp4 1.3 MB
- Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/03. What is the Difference-I3tQvrCgNrQ.mp4 1.3 MB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-5zkupL6EWh8.mp4 1.3 MB
- Part 16-Module 01-Lesson 13_PCA/09. Second Principal Component Of New System-cTjBlM2ATLQ.mp4 1.3 MB
- Part 03-Module 03-Lesson 02_SQL Joins/10. ALIAS-viWHJaxWTvw.mp4 1.2 MB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/06. How Databases Store Data-H0C9z_sRvLE.mp4 1.2 MB
- Part 08-Module 02-Lesson 01_Gathering Data/22. How Databases Store Data-H0C9z_sRvLE.mp4 1.2 MB
- Part 03-Module 03-Lesson 01_Basic SQL/07. How Databases Store Data-H0C9z_sRvLE.mp4 1.2 MB
- Part 04-Module 01-Lesson 04_Probability/04. Loaded Coin 1-sNvQeSikRFY.mp4 1.2 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/19. GaussianNB Deployment on Terrain Data-TcSnd3_hAy8.mp4 1.2 MB
- Part 08-Module 05-Lesson 01_Wrangle and Analyze Data/img/dogtionary-combined.png 1.2 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/23. Bayes Rule-1biLtViOQDc.mp4 1.2 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/06. Normalizing 3-V96RcbbVP7Q.mp4 1.2 MB
- Part 04-Module 01-Lesson 03_Admissions Case Study/10. Gender Bias Revisited-4YY-hmqSz30.mp4 1.2 MB
- Part 16-Module 01-Lesson 07_Regressions/05. Email Author Continuous or Discrete-GD9Bpjm31co.mp4 1.2 MB
- Part 16-Module 01-Lesson 07_Regressions/06. Phone Number Continuous or Discrete-5dt0N4XN-y4.mp4 1.2 MB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/16. Cleaning Data-AJF5smH1TJU.mp4 1.2 MB
- Part 04-Module 01-Lesson 03_Admissions Case Study/03. Admissions 2-pJrwiukN3Ls.mp4 1.2 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/19. Disease Test 6-cdFrLeXIkZU.mp4 1.2 MB
- Part 14-Module 02-Lesson 02_Refine Your Career Change Resume/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 15-Module 02-Lesson 08_Technical Interview - Python/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 13-Module 01-Lesson 01_Develop Your Personal Brand/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 13-Module 01-Lesson 03_Udacity Professional Profile/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 14-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 12-Module 01-Lesson 01_GitHub Review/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 14-Module 01-Lesson 01_Conduct a Job Search/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 15-Module 01-Lesson 05_Interview Practice/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 13-Module 01-Lesson 02_LinkedIn Review/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 14-Module 02-Lesson 01_Refine Your Entry-Level Resume/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 14-Module 03-Lesson 01_Craft Your Cover Letter/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.2 MB
- Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/09. Combining Data-7KICenO-lKc.mp4 1.2 MB
- Part 16-Module 01-Lesson 10_Feature Scaling/01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.mp4 1.2 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-hqO8kxRJdd4.mp4 1.2 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/15. Classifying Chavez Correctly 2-hqO8kxRJdd4.mp4 1.2 MB
- Part 16-Module 01-Lesson 11_Text Learning/02. Bag Of Words-QfIgUDXPhi8.mp4 1.2 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/12. Confusion Matrix Practice 2-HAQ0-Skvzmc.mp4 1.2 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/07. Confusion Matrix Practice 2-HAQ0-Skvzmc.mp4 1.2 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/08. Filling in a Confusion Matrix-FwaYsmnlLM4.mp4 1.2 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/13. Filling in a Confusion Matrix-FwaYsmnlLM4.mp4 1.2 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/16. Cut and Price--P5lMGuVA6U.mp4 1.2 MB
- Part 16-Module 01-Lesson 07_Regressions/15. Adding An Intercept-xPDk70gKkjk.mp4 1.2 MB
- Part 03-Module 03-Lesson 05_SQL Data Cleaning/08. CONCAT-bCxZnQN28Y4.mp4 1.2 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/25. Prior and Posterior-45_uUhPcz38.mp4 1.2 MB
- Part 16-Module 01-Lesson 07_Regressions/12. Slope Quiz-wnIQ6fCVD40.mp4 1.1 MB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/11. Data Wrangling And EDA-EQXfxbUup0o.mp4 1.1 MB
- Part 14-Module 01-Lesson 01_Conduct a Job Search/04. Open Yourself Up to Opportunity-1OamTNkk1xM.mp4 1.1 MB
- Part 16-Module 01-Lesson 09_Clustering/09. K-Means Cluster Visualization-ZMfwPUrOFsE.mp4 1.1 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/17. Price vs Carat and Color-ow70HVqX4OY.mp4 1.1 MB
- Part 16-Module 01-Lesson 04_Decision Trees/06. Class Labels After Second Split--3VPMBIwTtE.mp4 1.1 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/24. Noise in Conditional Means-GKXB5Qjlxo0.mp4 1.1 MB
- Part 04-Module 01-Lesson 04_Probability/10. Two Flips 3-3NSPqjp6pFY.mp4 1.1 MB
- Part 16-Module 01-Lesson 07_Regressions/05. Email Author Continuous or Discrete-TpVxnYcI_uw.mp4 1.1 MB
- Part 02-Module 01-Lesson 02_Functions, Installation and Conditionals/12. Ud1110 IntroPy L237 Break Up Your Code Ideas-qrp8r48BPUs.mp4 1.1 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/12. Gather Import Solution-QnTPEAGXJaE.mp4 1.1 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/14. A Good Linear Decision Surface-sudTOiG-NJo.mp4 1.1 MB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/03. Better Formula-z2xsu2Kehyo.mp4 1.1 MB
- Part 03-Module 03-Lesson 03_SQL Aggregations/19. DISTINCT-YDJEHkgKORY.mp4 1.1 MB
- Part 16-Module 01-Lesson 04_Decision Trees/06. Class Labels After Second Split-A7KKnDmZBA0.mp4 1.1 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-iyX0-eXStbw.mp4 1.1 MB
- Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program!/05. Introduction-fxNSn63xFvA.mp4 1.1 MB
- Part 06-Module 01-Lesson 01_Welcome to Term 2!/06. Introduction-fxNSn63xFvA.mp4 1.1 MB
- Part 07-Module 01-Lesson 03_Explore One Variable/14. Adjusting the Bin Width-VyYQPDw7w3Y.mp4 1.1 MB
- Part 07-Module 01-Lesson 01_What is EDA/07. The Growth of Televisions-r5qca6q4Fn4.mp4 1.1 MB
- Part 07-Module 01-Lesson 05_Explore Two Variables/13. Correlation on Subsets-BbBaLbDoPBY.mp4 1.1 MB
- Part 04-Module 01-Lesson 07_Bayes Rule/24. Robot Sensing 4-d_fbDqAGVdE.mp4 1.1 MB
- Part 16-Module 01-Lesson 09_Clustering/07. Match Points (again)-9J3IwQFXveI.mp4 1.1 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/11. Binomial 2-d4LWnxyvrTQ.mp4 1.1 MB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/25. Communicating Results-tmAlVZCbgFA.mp4 1.1 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/15. Price vs Carat and Cut-RF9V7l00a28.mp4 1.1 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/06. Confusion Matrix Practice 1-obhHCeHpysw.mp4 1.1 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/11. Confusion Matrix Practice 1-obhHCeHpysw.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 16-Module 01-Lesson 13_PCA/03. One-Dimensional, or Two-QsncWsyboFk.mp4 1.0 MB
- Part 16-Module 01-Lesson 10_Feature Scaling/03. Height + Weight for Cameron--dT9dztM-Lc.mp4 1.0 MB
- Part 04-Module 01-Lesson 04_Probability/14. One Head 2-64EjAbqrtmo.mp4 1.0 MB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/04. Price and Carat Relationship-gG4xwgj1yVA.mp4 1.0 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/24. False Positives in Eigenfaces-CMIM_Ocu8vg.mp4 1.0 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/20. False Positives in Eigenfaces-CMIM_Ocu8vg.mp4 1.0 MB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/img/screenshot-2018-01-15-17.36.32.png 1.0 MB
- Part 04-Module 01-Lesson 16_Logistic Regression/12. Confusion Matrix Practice 2-XN1eS7boCNg.mp4 1.0 MB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/07. Confusion Matrix Practice 2-XN1eS7boCNg.mp4 1.0 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/02. Heads Tails-yo55zJtJQwo.mp4 1.0 MB
- Part 04-Module 01-Lesson 05_Binomial Distribution/14. Binomial 5-yof0QiP2mzk.mp4 1.0 MB
- Part 16-Module 01-Lesson 04_Decision Trees/18. Entropy Calculation Part 3-M2Sp-Y2a71c.mp4 1.0 MB
- Part 16-Module 01-Lesson 02_Naive Bayes/33. Posterior Probabilities-lJlS-Xdlu5o.mp4 1021.9 KB
- Part 07-Module 01-Lesson 05_Explore Two Variables/07. Alpha and Jitter-0OkHWvkwCus.mp4 1016.0 KB
- Part 04-Module 01-Lesson 05_Binomial Distribution/img/48713571.gif 1011.6 KB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/18. Color and Price--9CHGW25yMg.mp4 1010.8 KB
- Part 16-Module 01-Lesson 06_Datasets and Questions/06. Types of Data Quiz 2-T7rdBFQQ0Fw.mp4 1009.8 KB
- Part 16-Module 01-Lesson 04_Decision Trees/20. Entropy Calculation Part 5-ZSkYbBsFuOQ.mp4 996.8 KB
- Part 16-Module 01-Lesson 09_Clustering/14. Limitations of K-Means-nvLhUSSUhiY.mp4 991.7 KB
- Part 04-Module 01-Lesson 04_Probability/12. Two Flips 5-HB8b7sZQFGs.mp4 990.9 KB
- Part 03-Module 02-Lesson 03_Data Analysis Process - Case Study 2/img/inner-outer.png 989.1 KB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/img/oblstsm-imgur.gif 988.1 KB
- Part 16-Module 01-Lesson 07_Regressions/16. Handoff to Katie-M3Nwl_B_bZ8.mp4 985.4 KB
- Part 04-Module 01-Lesson 07_Bayes Rule/28. Robot Sensing 8-hyAQ28MYmc4.mp4 978.7 KB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/08. Gather Download II-T4iFJoHb_qU.mp4 975.7 KB
- Part 16-Module 01-Lesson 06_Datasets and Questions/09. Types of Data Quiz 5-bRhdim9PTFI.mp4 975.6 KB
- Part 03-Module 03-Lesson 03_SQL Aggregations/10. AVG-diqCDztOL64.mp4 975.4 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 03-Module 02-Lesson 03_Data Analysis Process - Case Study 2/img/left-right.png 964.4 KB
- Part 16-Module 01-Lesson 03_SVM/17. Separating with the New Feature-9KAHkienFWk.mp4 960.3 KB
- Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/17. Measures of Center - The Mode-NE81NZgECqg.mp4 954.6 KB
- Part 04-Module 01-Lesson 15_Multiple Linear Regression/img/screen-shot-2017-12-07-at-3.48.20-pm.png 925.4 KB
- Part 04-Module 01-Lesson 04_Probability/10. Two Flips 3-uimwo-puQWY.mp4 920.8 KB
- Part 03-Module 03-Lesson 03_SQL Aggregations/06. SUM-0zUP14PeiXk.mp4 918.8 KB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/19. True Positives in Eigenfaces-TWGqylKdGWs.mp4 918.4 KB
- Part 04-Module 01-Lesson 16_Logistic Regression/23. True Positives in Eigenfaces-TWGqylKdGWs.mp4 918.4 KB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/22. Drawing Conclusions-Glctk6ahdFU.mp4 915.1 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.mp4 909.0 KB
- Part 08-Module 04-Lesson 01_Cleaning Data/14. Cleaning For Quallity -qyixEwMRtWA.mp4 897.4 KB
- Part 16-Module 01-Lesson 02_Naive Bayes/26. Normalizing 1-GR1ZsrwhZUs.mp4 896.7 KB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/11. Minimum Value-LconwqN7hJs.mp4 893.3 KB
- Part 16-Module 01-Lesson 04_Decision Trees/09. [object Object]-i7pRvuVoWg0.mp4 891.3 KB
- Part 04-Module 01-Lesson 16_Logistic Regression/19. Classifying Chavez Correctly 2-HWW9BNHnPo0.mp4 886.4 KB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/15. Classifying Chavez Correctly 2-HWW9BNHnPo0.mp4 886.4 KB
- Part 04-Module 01-Lesson 12_Hypothesis Testing/img/screen-shot-2017-11-07-at-2.17.08-pm.png 882.6 KB
- Part 10-Module 01-Lesson 01_Congratulations & Next Steps/03. Projects-1-E_ZYovKeI.mp4 867.3 KB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/04. Quadratics-GzRNoodJZxk.mp4 864.0 KB
- Part 03-Module 03-Lesson 02_SQL Joins/02. Why Not Store Everything in One Table-rvY4A6FpS40.mp4 863.3 KB
- Part 16-Module 01-Lesson 10_Feature Scaling/02. A Metric for Chris-Thj7e55iSlA.mp4 853.6 KB
- Part 16-Module 01-Lesson 03_SVM/02. Separating Line-NTm_mA4akP4.mp4 842.6 KB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/19. Exploring Data With Visuals-0i_9t4Wi0Og.mp4 836.3 KB
- Part 07-Module 01-Lesson 05_Explore Two Variables/19. Noisy Scatterplots-k_mm11ePWpg.mp4 832.7 KB
- Part 04-Module 01-Lesson 12_Hypothesis Testing/img/screen-shot-2017-11-07-at-2.18.27-pm.png 832.0 KB
- Part 04-Module 01-Lesson 03_Admissions Case Study/05. Admissions 4-GD6cQhkoqS4.mp4 831.8 KB
- Part 16-Module 01-Lesson 02_Naive Bayes/05. Features Visualization Quiz-aMOZWZO5hZ8.mp4 828.3 KB
- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/11. UNION 2-so5zydnbYEg.mp4 825.6 KB
- Part 04-Module 01-Lesson 05_Binomial Distribution/06. 5 Flips 3 Heads-1PHs2w_NNTg.mp4 824.9 KB
- Part 16-Module 01-Lesson 06_Datasets and Questions/08. Types of Data Quiz 4-DzyOcsBIncA.mp4 817.4 KB
- Part 16-Module 01-Lesson 04_Decision Trees/23. Information Gain Calculation Part 2-4YP0K-5c310.mp4 817.3 KB
- Part 04-Module 01-Lesson 04_Probability/05. Loaded Coin 2-Y7tnbth-gag.mp4 805.4 KB
- Part 16-Module 01-Lesson 09_Clustering/06. Moving Centers 2-uC1Xwc7warg.mp4 803.7 KB
- Part 04-Module 01-Lesson 06_Conditional Probability/08. Medical Example 7-cw_zgQbAWNU.mp4 803.7 KB
- Part 16-Module 01-Lesson 02_Naive Bayes/11. From Scatterplots to Predictions-SuGzxfoye9s.mp4 800.5 KB
- Part 16-Module 01-Lesson 06_Datasets and Questions/img/3011778732.gif 798.3 KB
- Part 04-Module 01-Lesson 04_Probability/03. Fair Coin-fSKL742j-zk.mp4 797.8 KB
- Part 01-Module 02-Lesson 02_Explore Weather Trends/img/earth.png 795.6 KB
- Part 04-Module 01-Lesson 16_Logistic Regression/26. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.mp4 792.7 KB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/22. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.mp4 792.7 KB
- Part 08-Module 05-Lesson 01_Wrangle and Analyze Data/img/screenshot-2017-10-10-18.43.41.png 788.8 KB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/12. How Many Schroeders-T2dveKB64Ho.mp4 787.8 KB
- Part 04-Module 01-Lesson 16_Logistic Regression/16. How Many Schroeders-T2dveKB64Ho.mp4 787.8 KB
- Part 16-Module 01-Lesson 09_Clustering/08. Handoff to Katie-knrPsGtpyQY.mp4 782.0 KB
- Part 16-Module 01-Lesson 03_SVM/05. Practice with Margins-l3zXhTxQiTs.mp4 780.8 KB
- Part 16-Module 01-Lesson 04_Decision Trees/26. Information Gain Calculation Part 5-4oOXVejgFGk.mp4 776.8 KB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/18. Bush Precision and Recall-8fM13xqU2a8.mp4 775.0 KB
- Part 04-Module 01-Lesson 16_Logistic Regression/22. Bush Precision and Recall-8fM13xqU2a8.mp4 775.0 KB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/09. Maximum Value-rjpcSymYulE.mp4 771.8 KB
- Part 04-Module 01-Lesson 16_Logistic Regression/10. Confusion Matrices-bEAaNv-CBQ4.mp4 770.6 KB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/05. Confusion Matrices-bEAaNv-CBQ4.mp4 770.6 KB
- Part 16-Module 01-Lesson 06_Datasets and Questions/img/3013458575.gif 766.4 KB
- Part 16-Module 01-Lesson 06_Datasets and Questions/img/3017968763.gif 765.9 KB
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- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/05. Why Do Analysts Like SQL-uCNOtUht2Xc.pt-BR.vtt 3.3 KB
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- Part 03-Module 01-Lesson 01_Anaconda/01. Why Anaconda-VXukXZv7SCQ.pt-BR.vtt 3.2 KB
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- Part 16-Module 01-Lesson 07_Regressions/23. Errors and Fit Quality-x-8-2zy8gmI.pt-BR.vtt 3.2 KB
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- Part 04-Module 01-Lesson 08_Python Probability Practice/04. Simulating Many Coin Flips-AqpWQIj2V5Y.en.vtt 3.2 KB
- Part 01-Module 01-Lesson 02_The Life of a Data Analyst/01. Sparta Science-MkjoaUmdOXc.pt-BR.vtt 3.2 KB
- Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.en.vtt 3.2 KB
- Part 16-Module 01-Lesson 02_Naive Bayes/31. Bayes Rule for Classification-wPI9WOfpZbM.en.vtt 3.2 KB
- Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.en.vtt 3.2 KB
- Part 09-Module 01-Lesson 02_Design/03. Exploratory vs. Explanatory Analysis-wvgBSMks4p8.zh-CN.vtt 3.2 KB
- Part 14-Module 03-Lesson 01_Craft Your Cover Letter/05. Writing the Body-aK9Qnv3a6Wg.es-MX.vtt 3.2 KB
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- Part 16-Module 01-Lesson 09_Clustering/01. Unsupervised Learning-Mx9f99bRB3Q.en.vtt 3.2 KB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/20. Plotting With Pandas-kR7KZFqciFE.en.vtt 3.2 KB
- Part 16-Module 01-Lesson 04_Decision Trees/13. Data Impurity and Entropy-Bd15qhUrKCI.ar.vtt 3.2 KB
- Part 07-Module 01-Lesson 01_What is EDA/02. Data is Ubiquitous-YbVuN2KOlt4.zh-CN.vtt 3.2 KB
- Part 13-Module 01-Lesson 01_Develop Your Personal Brand/01. Why Network-exjEm9Paszk.es-MX.vtt 3.2 KB
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- Part 11-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 01 Welcome-lbR82UD5F0c.zh-CN.vtt 3.2 KB
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- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/07. ggpairs Function-iJEBxsKDDoE.pt-BR.vtt 3.2 KB
- Part 13-Module 01-Lesson 01_Develop Your Personal Brand/01. Why Network-exjEm9Paszk.pt-BR.vtt 3.2 KB
- Part 15-Module 02-Lesson 01_Introduction and Efficiency/01. Course Introduction-NKBUbUiedzc.pt-BR.vtt 3.2 KB
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- Part 03-Module 02-Lesson 01_The Data Analysis Process/03. Problems Solved by Data Analysts-zbjRiYSSR_Y.pt-BR.vtt 3.2 KB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/03. Shortcomings of Accuracy-9JfaMZcSlQA.zh-CN.vtt 3.2 KB
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- Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/15. The Median-WlT3eeW0rb0.ar.vtt 3.2 KB
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- Part 08-Module 04-Lesson 01_Cleaning Data/11. Cleaning For Tidiness -6nMKFhpVCRU.en.vtt 3.2 KB
- Part 04-Module 01-Lesson 08_Python Probability Practice/02. Simulating Coin Flips-7YtQNZ3iy6o.zh-CN.vtt 3.2 KB
- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/15. Performance Tuning 1-5mVfYZ_bfRo.pt-BR.vtt 3.2 KB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/41. AND BETWEEN Operators-nBuDPneWcKY.ar.vtt 3.2 KB
- Part 03-Module 03-Lesson 01_Basic SQL/43. AND BETWEEN Operators-nBuDPneWcKY.ar.vtt 3.2 KB
- Part 16-Module 01-Lesson 13_PCA/25. ReviewDefinition of PCA-oFBGXUUuKyI.en.vtt 3.2 KB
- Part 04-Module 01-Lesson 15_Multiple Linear Regression/23. Interpreting Interactions-XV6S2srsdxw.pt-BR.vtt 3.2 KB
- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/15. Performance Tuning 1-5mVfYZ_bfRo.en.vtt 3.2 KB
- Part 07-Module 01-Lesson 03_Explore One Variable/28. Getting Logical-TjY0Q66Yh-s.en.vtt 3.2 KB
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- Part 15-Module 02-Lesson 01_Introduction and Efficiency/01. Course Introduction-NKBUbUiedzc.en-US.vtt 3.2 KB
- Part 04-Module 01-Lesson 07_Bayes Rule/20. Bayes Rule Summary-RgXQ8GRsjfc.pt-BR.vtt 3.2 KB
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- Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/12. Introduction to Summary Statistics-PCZmHCrcMcw.ar.vtt 3.2 KB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/02. Lesson Overview-1EzlGH4Biu0.ar.vtt 3.2 KB
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- Part 15-Module 02-Lesson 01_Introduction and Efficiency/01. Course Introduction-NKBUbUiedzc.en.vtt 3.2 KB
- Part 15-Module 02-Lesson 05_Trees/09. Insert-j6PkPa2ZHWg.en-US.vtt 3.2 KB
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- Part 04-Module 01-Lesson 12_Hypothesis Testing/24. What If Our Sample Is Large-WoTCeSTL1eM.en.vtt 3.2 KB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/20. Plotting With Pandas-kR7KZFqciFE.zh-CN.vtt 3.2 KB
- Part 15-Module 02-Lesson 06_Graphs/10. DFS-BC8jEidd2EQ.pt-BR.vtt 3.2 KB
- Part 07-Module 01-Lesson 05_Explore Two Variables/07. Alpha and Jitter-JqyUT7RbvgI.pt-BR.vtt 3.2 KB
- Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/03. Your First Subquery-cTM1jPYXLoQ.pt-BR.vtt 3.2 KB
- Part 16-Module 01-Lesson 16_Tying It All Together/04. Outro-VCNcNnZ6V_s.ar.vtt 3.1 KB
- Part 16-Module 01-Lesson 09_Clustering/01. Unsupervised Learning-Mx9f99bRB3Q.pt-BR.vtt 3.1 KB
- Part 16-Module 01-Lesson 13_PCA/30. PCA for Facial Recognition-WyoU2otqsd8.ar.vtt 3.1 KB
- Part 04-Module 01-Lesson 15_Multiple Linear Regression/23. Interpreting Interactions-XV6S2srsdxw.en.vtt 3.1 KB
- Part 12-Module 01-Lesson 01_GitHub Review/02. GitHub profile important items-prvPVTjVkwQ.pt-BR.vtt 3.1 KB
- Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/01. What is Tableau-LeCpU8HvVg8.pt-BR.vtt 3.1 KB
- Part 16-Module 01-Lesson 02_Naive Bayes/02. Acerous Vs. Non-Acerous-TeFF9wXiFfs.ja.vtt 3.1 KB
- Part 16-Module 01-Lesson 12_Feature Selection/17. Lasso Code Quiz-FT0dM2um34E.ar.vtt 3.1 KB
- Part 07-Module 01-Lesson 07_Explore Many Variables/19. Number of Purchases-wZDgVcAW_es.ar.vtt 3.1 KB
- Part 16-Module 01-Lesson 03_SVM/23. SVM Gamma Parameter-m2a2K4lprQw.pt-BR.vtt 3.1 KB
- Part 07-Module 01-Lesson 03_Explore One Variable/03. Pseudo-Facebook User Data-8FD_iOP24UA.ja.vtt 3.1 KB
- Part 15-Module 02-Lesson 08_Technical Interview - Python/09. Debugging-Bz1tlvkql9Q.zh-CN.vtt 3.1 KB
- Part 16-Module 01-Lesson 10_Feature Scaling/12. Quiz on Algorithms Requiring Rescaling-oEhevl5DWpk.zh-CN.vtt 3.1 KB
- Part 04-Module 01-Lesson 11_Confidence Intervals/08. Statistical vs. Practical Differences-RKHD1wzxxPA.en.vtt 3.1 KB
- Part 15-Module 01-Lesson 05_Interview Practice/07. Jimmy's Analysis of the Interview-wg535YU4jFw.en.vtt 3.1 KB
- Part 13-Module 01-Lesson 01_Develop Your Personal Brand/07. Use Your Elevator Pitch-e-v60ieggSs.en.vtt 3.1 KB
- Part 03-Module 03-Lesson 03_SQL Aggregations/13. GROUP BY-9vb67TF4WV0.en.vtt 3.1 KB
- Part 18-Module 01-Lesson 03_Control Flow/07. Complex Boolean Expressions-gWmIKWgzFqI.ar.vtt 3.1 KB
- Part 07-Module 01-Lesson 01_What is EDA/06. Goals of EDA-NEvuulahg2g.ja.vtt 3.1 KB
- Part 07-Module 01-Lesson 03_Explore One Variable/27. Box Plots, Quartiles, and Friendships-ykFuZOPCU88.pt-BR.vtt 3.1 KB
- Part 15-Module 01-Lesson 03_Interview Fails/03. Interviewing Fails Siya Raj Purohit-wYop-N5YgeA.pt-BR.vtt 3.1 KB
- Part 16-Module 01-Lesson 10_Feature Scaling/06. Comparing Features with Different Scales-PRL8trOU7Rs.pt-BR.vtt 3.1 KB
- Part 15-Module 02-Lesson 05_Trees/15. Heaps-M3B0UJWS_ag.pt-BR.vtt 3.1 KB
- Part 08-Module 03-Lesson 01_Assessing Data/13. Date Quality Dimensions 2 Solution-kqcuw1qCLEM.en.vtt 3.1 KB
- Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/13. Calculating the Mean-1nzZxmJ8xvU.ar.vtt 3.1 KB
- Part 09-Module 01-Lesson 02_Design/05. What Makes a Bad Visual-zbvB_9f7bFs.zh-CN.vtt 3.1 KB
- Part 04-Module 01-Lesson 12_Hypothesis Testing/08. Types Of Errors - Part II-mbdSQ5CjdFs.en.vtt 3.1 KB
- Part 16-Module 01-Lesson 06_Datasets and Questions/05. Types of Data Quiz 1-YZb-Uam-Ics.pt-BR.vtt 3.1 KB
- Part 15-Module 02-Lesson 01_Introduction and Efficiency/07. Efficiency-I-RASDPbDrI.zh-CN.vtt 3.1 KB
- Part 01-Module 01-Lesson 02_The Life of a Data Analyst/01. Sparta Science-MkjoaUmdOXc.en.vtt 3.1 KB
- Part 15-Module 01-Lesson 03_Interview Fails/03. Interviewing Fails Siya Raj Purohit-wYop-N5YgeA.en.vtt 3.1 KB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/20. Clean Define-qHB4jsqcfi4.zh-CN.vtt 3.1 KB
- Part 18-Module 01-Lesson 03_Control Flow/02. If Statements-jWiIUMrwPqA.pt-BR.vtt 3.1 KB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/38. NOT Operator-dSQF87oW8a0.ar.vtt 3.1 KB
- Part 16-Module 01-Lesson 02_Naive Bayes/25. Prior and Posterior-HEnJRwJ23us.pt-BR.vtt 3.1 KB
- Part 03-Module 03-Lesson 01_Basic SQL/40. NOT Operator-dSQF87oW8a0.ar.vtt 3.1 KB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/16. Assess Programmatic-6JubHCD7dh4.en.vtt 3.1 KB
- Part 07-Module 01-Lesson 03_Explore One Variable/15. Omitting NA Observations-SdYtgaZ5riY.ar.vtt 3.1 KB
- Part 18-Module 01-Lesson 05_Scripting/26. Third Party Libraries And Package Managers-epOze9gC6T4.zh-CN.vtt 3.1 KB
- Part 16-Module 01-Lesson 04_Decision Trees/10. Decision Tree Parameters-jkJ4dbbpVCQ.zh-CN.vtt 3.1 KB
- Part 16-Module 01-Lesson 03_SVM/23. SVM Gamma Parameter-m2a2K4lprQw.en.vtt 3.1 KB
- Part 07-Module 01-Lesson 02_R Basics/08. Demystifying R-vLlj5nNj8x4.pt-BR.vtt 3.1 KB
- Part 04-Module 01-Lesson 13_Case Study AB tests/02. AB Testing-EcWvhbIjT9o.en.vtt 3.1 KB
- Part 07-Module 01-Lesson 01_What is EDA/06. Goals of EDA-NEvuulahg2g.pt-BR.vtt 3.1 KB
- Part 08-Module 02-Lesson 01_Gathering Data/22. SELECT FROM Statements-urOYuuav4BY.zh-CN.vtt 3.1 KB
- Part 03-Module 03-Lesson 01_Basic SQL/11. SELECT FROM Statements-urOYuuav4BY.zh-CN.vtt 3.1 KB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/09. SELECT FROM Statements-urOYuuav4BY.zh-CN.vtt 3.1 KB
- Part 08-Module 02-Lesson 01_Gathering Data/09. HTML and Trees-766JMEtZCPE.ar.vtt 3.1 KB
- Part 03-Module 03-Lesson 02_SQL Joins/14. JOINs-CxuHtd1Daqk.ar.vtt 3.1 KB
- Part 03-Module 03-Lesson 05_SQL Data Cleaning/02. Cleaning with String Functions-y1fduSu7Ovc.en.vtt 3.1 KB
- Part 15-Module 01-Lesson 03_Interview Fails/03. Interviewing Fails Siya Raj Purohit-wYop-N5YgeA.es-MX.vtt 3.1 KB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/23. Clean Test 1-J4X9r0EGH3k.pt-BR.vtt 3.1 KB
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- Part 02-Module 01-Lesson 03_Data Structures and Loops/18. Problem Solving Skills-el9knzvU4TM.pt-BR.vtt 3.1 KB
- Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program!/01. Welcome To DAND Term 1-Q1GEXzXXLN0.pt-BR.vtt 3.1 KB
- Part 16-Module 01-Lesson 02_Naive Bayes/35. Why Is Naive Bayes Naive-H7IlFC5wbjk.ja.vtt 3.1 KB
- Part 18-Module 01-Lesson 05_Scripting/21. The Standard Library-Fw3vf0tDrJM.en.vtt 3.1 KB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/07. ggpairs Function-iJEBxsKDDoE.en.vtt 3.1 KB
- Part 18-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.zh-CN.vtt 3.1 KB
- Part 09-Module 01-Lesson 01_Introduction to Data Visualization/09. Scatter Plots -DvlxZ37O4i8.ar.vtt 3.1 KB
- Part 04-Module 01-Lesson 14_Regression/06. Scatter Plots -DvlxZ37O4i8.ar.vtt 3.1 KB
- Part 03-Module 03-Lesson 02_SQL Joins/02. Why Use Separate Tables-UIQBtpmqYOs.en.vtt 3.1 KB
- Part 04-Module 01-Lesson 13_Case Study AB tests/11. Metric - Average Reading Duration-w6Y9ZxHDEbw.pt-BR.vtt 3.1 KB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/23. Drawing Conclusions Example-yAl58ccwyvU.pt-BR.vtt 3.1 KB
- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/02. Beautiful Soup Demonstration-dk7ESZXLnk4.en.vtt 3.1 KB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/12. Gathering Data-JsVg95-amjI.zh-CN.vtt 3.1 KB
- Part 07-Module 01-Lesson 03_Explore One Variable/08. Faceting-in2hLEl_eJU.ja.vtt 3.1 KB
- Part 15-Module 02-Lesson 07_Case Studies in Algorithms/03. Dijkstra's Algorithm-SoPMK03cOgk.zh-CN.vtt 3.1 KB
- Part 07-Module 01-Lesson 03_Explore One Variable/19. User Ages-Gl6anQql914.pt-BR.vtt 3.1 KB
- Part 03-Module 03-Lesson 03_SQL Aggregations/03. Data Types and NULLs-RgTcYwKqtYI.ar.vtt 3.1 KB
- Part 07-Module 01-Lesson 03_Explore One Variable/24. Frequency Polygons-bDRGbJP7YMY.ar.vtt 3.1 KB
- Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/01. What is Tableau-LeCpU8HvVg8.en.vtt 3.1 KB
- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/02. Beautiful Soup Demonstration-dk7ESZXLnk4.zh-CN.vtt 3.1 KB
- Part 08-Module 04-Lesson 01_Cleaning Data/05. Data Cleaning Process -exMGBx6Rs_E.zh-CN.vtt 3.1 KB
- Part 16-Module 01-Lesson 12_Feature Selection/11. Bias, Variance, and Number of Features-OurfO1ZR2GU.en.vtt 3.1 KB
- Part 16-Module 01-Lesson 04_Decision Trees/20. Entropy Calculation Part 5-B_fHrMIzIgE.ar.vtt 3.1 KB
- Part 09-Module 01-Lesson 02_Design/15. Shape, Size, and other Tools-fzEliHW3ZLM.zh-CN.vtt 3.1 KB
- Part 08-Module 02-Lesson 01_Gathering Data/22. Why Businesses Choose Databases-j4ey7--h9r8.ar.vtt 3.1 KB
- Part 03-Module 03-Lesson 01_Basic SQL/06. Why Businesses Choose Databases-j4ey7--h9r8.ar.vtt 3.1 KB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/05. Why Businesses Choose Databases-j4ey7--h9r8.ar.vtt 3.1 KB
- Part 08-Module 03-Lesson 01_Assessing Data/17. Tidiness Visual Assessment Solution-H50mPHHp6fY.pt-BR.vtt 3.1 KB
- Part 04-Module 01-Lesson 07_Bayes Rule/02. Cancer Test-CNpSrdnYvbo.zh-CN.vtt 3.1 KB
- Part 04-Module 01-Lesson 16_Logistic Regression/04. Fitting Logistic Regression In Python-baQf-XiZQQ4.en.vtt 3.1 KB
- Part 16-Module 01-Lesson 13_PCA/21. Info Loss and Principal Components-LTPV8lxQeZQ.ar.vtt 3.1 KB
- Part 04-Module 01-Lesson 07_Bayes Rule/02. Cancer Test-CNpSrdnYvbo.pt-BR.vtt 3.1 KB
- Part 16-Module 01-Lesson 02_Naive Bayes/02. Acerous Vs. Non-Acerous-TeFF9wXiFfs.en.vtt 3.1 KB
- Part 03-Module 03-Lesson 03_SQL Aggregations/25. DATE Functions I-E7Z6GMFVmIY.zh-CN.vtt 3.1 KB
- Part 07-Module 01-Lesson 05_Explore Two Variables/17. Moira on Correlation-2vql64jk77I.ar.vtt 3.1 KB
- Part 08-Module 04-Lesson 01_Cleaning Data/05. Data Cleaning Process -exMGBx6Rs_E.en.vtt 3.1 KB
- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/02. Beautiful Soup Demonstration-dk7ESZXLnk4.pt-BR.vtt 3.0 KB
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- Part 02-Module 01-Lesson 02_Functions, Installation and Conditionals/06. Ud1110 IntroPy L218 My Python Programming Setup-wrnov8J5zto.zh-CN.vtt 2.6 KB
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- Part 14-Module 02-Lesson 02_Refine Your Career Change Resume/02. Effective Resume Components-AiFcaHRGdEA.pt-BR.vtt 2.6 KB
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- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/16. ORDER BY Statement-wqj2As31LqI.ar.vtt 2.6 KB
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- Part 03-Module 03-Lesson 01_Basic SQL/18. ORDER BY Statement-wqj2As31LqI.ar.vtt 2.6 KB
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- Part 15-Module 01-Lesson 01_Ace Your Interview/02. Interviewing Conversations-klqXp09Pen4.pt-BR.vtt 2.6 KB
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- Part 07-Module 01-Lesson 03_Explore One Variable/19. User Ages-Gl6anQql914.zh-CN.vtt 2.6 KB
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- Part 04-Module 01-Lesson 11_Confidence Intervals/03. Sampling Distributions Confidence Intervals-gICzUhMVymo.pt-BR.vtt 2.6 KB
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- Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program!/02. Projects Term 1 V2-1e1y6QB34YM.ar.vtt 2.6 KB
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- Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/03. Your First Subquery-cTM1jPYXLoQ.zh-CN.vtt 2.6 KB
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- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/13. LIMIT Statement-cCPHNNhBgpQ.ar.vtt 2.6 KB
- Part 03-Module 03-Lesson 01_Basic SQL/15. LIMIT Statement-cCPHNNhBgpQ.ar.vtt 2.6 KB
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- Part 16-Module 01-Lesson 03_SVM/19. Kernel Trick-3Xw6FKYP7e4.ja.vtt 2.6 KB
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- Part 11-Module 01-Lesson 04_Add Commits To A Repo/01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.ar.vtt 2.5 KB
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- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/02. Exploring HTML with Developer Tools-YWbCvLCBQrg.en.vtt 2.5 KB
- Part 16-Module 01-Lesson 02_Naive Bayes/35. Why Is Naive Bayes Naive-H7IlFC5wbjk.en.vtt 2.5 KB
- Part 16-Module 01-Lesson 03_SVM/21. Kernel and Gamma-pH51jLfGXe0.ar.vtt 2.5 KB
- Part 15-Module 02-Lesson 06_Graphs/06. Graph Representations-uw9u6dtl0WA.en.vtt 2.5 KB
- Part 18-Module 01-Lesson 03_Control Flow/28. Zip and Enumerate-bSJPzVArE7M.en.vtt 2.5 KB
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- Part 03-Module 02-Lesson 01_The Data Analysis Process/01. Instructor Introduction Juno Lee-to8Pp3PCOZo.ar.vtt 2.5 KB
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- Part 04-Module 01-Lesson 12_Hypothesis Testing/10. Types Of Errors - Part III-Z-srkCPsdaM.zh-CN.vtt 2.5 KB
- Part 14-Module 02-Lesson 02_Refine Your Career Change Resume/02. Effective Resume Components-AiFcaHRGdEA.es-MX.vtt 2.5 KB
- Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/12. Pandas Groupby-aWc18hHpXRk.pt-BR.vtt 2.5 KB
- Part 16-Module 01-Lesson 02_Naive Bayes/24. Cancer Test-EL5z2lUuxY4.zh-CN.vtt 2.5 KB
- Part 14-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/02. Effective Resume Components-AiFcaHRGdEA.es-MX.vtt 2.5 KB
- Part 14-Module 02-Lesson 01_Refine Your Entry-Level Resume/02. Effective Resume Components-AiFcaHRGdEA.es-MX.vtt 2.5 KB
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- Part 02-Module 01-Lesson 03_Data Structures and Loops/18. Problem Solving Skills-el9knzvU4TM.zh-CN.vtt 2.5 KB
- Part 16-Module 01-Lesson 03_SVM/23. SVM Gamma Parameter-m2a2K4lprQw.zh-CN.vtt 2.5 KB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/23. Clean Test 1-J4X9r0EGH3k.en.vtt 2.5 KB
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- Part 14-Module 02-Lesson 01_Refine Your Entry-Level Resume/02. Effective Resume Components-AiFcaHRGdEA.en.vtt 2.5 KB
- Part 14-Module 02-Lesson 02_Refine Your Career Change Resume/02. Effective Resume Components-AiFcaHRGdEA.en.vtt 2.5 KB
- Part 14-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/02. Effective Resume Components-AiFcaHRGdEA.en.vtt 2.5 KB
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- Part 07-Module 01-Lesson 01_What is EDA/07. The Growth of Televisions-GuBics_6HOk.en.vtt 2.5 KB
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- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/05. Continue Crawl Solution-cFwJ_MO3ofs.pt-BR.vtt 2.2 KB
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- Part 16-Module 01-Lesson 04_Decision Trees/08. Coding A Decision Tree-cxV6OAxCfIQ.en.vtt 2.2 KB
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- Part 16-Module 01-Lesson 09_Clustering/15. Counterintuitive Clusters-StmEUgT1XSY.en.vtt 2.2 KB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/05. Why Businesses Choose Databases-j4ey7--h9r8.en.vtt 2.2 KB
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- Part 07-Module 01-Lesson 07_Explore Many Variables/24. Many Variables-okzOTH15r3Y.en.vtt 2.2 KB
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- Part 04-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-b2zvrFL8AUw.es-ES.vtt 2.2 KB
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- Part 04-Module 01-Lesson 11_Confidence Intervals/12. Other Language Associated With Confidence Intervals-9KYVRx7-llg.pt-BR.vtt 2.2 KB
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- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/10. Scatterplot Transformation-h1wbEPuADz0.zh-CN.vtt 2.2 KB
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- Part 18-Module 01-Lesson 02_Data Types and Operators/25. L2 05 Lists Methods V1-WXkPm4rv6ng.en.vtt 2.2 KB
- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/17. Performance Tuning 3-hIAE8W6x5O8.ar.vtt 2.2 KB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/19. Clean Intro -FnUrE4dhgh8.ar.vtt 2.2 KB
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- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/11. Gather CSV Files-FpWi4tExVwg.zh-CN.vtt 2.1 KB
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- 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 07-Module 01-Lesson 03_Explore One Variable/09. Be Skeptical Outliers and Anomalies-kAisC2wRGBU.ar.vtt 2.1 KB
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- Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/11. Why the Standard Deviation-XlTBvjQ2t8w.ar.vtt 2.1 KB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/44. OR Operator-3vLGEuXAAvA.en.vtt 2.1 KB
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- Part 04-Module 01-Lesson 14_Regression/16. How Do We Interpret Results-eLk0XGGMaCE.zh-CN.vtt 2.1 KB
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- Part 02-Module 01-Lesson 02_Functions, Installation and Conditionals/12. Ud1110 IntroPy L237 Break Up Your Code Ideas-qrp8r48BPUs.ar.vtt 2.1 KB
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- Part 04-Module 01-Lesson 11_Confidence Intervals/05. Confidence Interval for a Difference In Means-8hrWGzjyhck.pt-BR.vtt 2.1 KB
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- Part 15-Module 01-Lesson 03_Interview Fails/02. Interviewing Fails Mike Wales-OGXRmzBglI4.es-MX.vtt 2.1 KB
- Part 16-Module 01-Lesson 04_Decision Trees/02. Linearly Separable Data-lCWGV6ZuXt0.ar.vtt 2.1 KB
- Part 16-Module 01-Lesson 04_Decision Trees/08. Coding A Decision Tree-cxV6OAxCfIQ.ja.vtt 2.1 KB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/19. Order By Part II-XQCjREdOqwE.en.vtt 2.1 KB
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- Part 16-Module 01-Lesson 08_Outliers/04. Outlier DetectionRemoval Algorithm-hGKY6BAqJ6o.pt-BR.vtt 2.1 KB
- Part 07-Module 01-Lesson 05_Explore Two Variables/14. Correlation Methods-VQJCYk643po.ar.vtt 2.1 KB
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- Part 16-Module 01-Lesson 03_SVM/12. Coding Up the SVM-2ieszOqnpWs.ar.vtt 2.1 KB
- Part 14-Module 03-Lesson 01_Craft Your Cover Letter/07. Format-Xlqoq-SoJso.en.vtt 2.1 KB
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- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/05. Continue Crawl Solution-cFwJ_MO3ofs.zh-CN.vtt 2.1 KB
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- Part 03-Module 03-Lesson 01_Basic SQL/01. Introduction-Z8WNfx9Oq9s.ar.vtt 2.1 KB
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- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/02. Introduction-Z8WNfx9Oq9s.ar.vtt 2.1 KB
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- Part 16-Module 01-Lesson 13_PCA/27. PCA on the Enron Finance Data-w5XWkq_Y-rY.ar.vtt 2.1 KB
- Part 04-Module 01-Lesson 16_Logistic Regression/06. Interpreting Results-UPOxxbKu6CQ.en.vtt 2.1 KB
- Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/12. Pandas Groupby-aWc18hHpXRk.zh-CN.vtt 2.1 KB
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- Part 16-Module 01-Lesson 01_Welcome to Machine Learning/02. Introduction Part II-2ldF64FPWw4.zh-CN.vtt 2.1 KB
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- Part 08-Module 02-Lesson 01_Gathering Data/22. Why Businesses Choose Databases-j4ey7--h9r8.zh-CN.vtt 2.1 KB
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- Part 12-Module 01-Lesson 01_GitHub Review/06. Quick Fixes-Lb9e2KemR6I.pt-BR.vtt 2.1 KB
- Part 16-Module 01-Lesson 02_Naive Bayes/05. Features Visualization Quiz-t0iflCpBUDA.ja.vtt 2.1 KB
- Part 03-Module 03-Lesson 05_SQL Data Cleaning/05. Cleaning With More Advanced String Functions-E6cK8RbYGEc.zh-CN.vtt 2.1 KB
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- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/22. WHERE Statements -mN0uTnlXaxg.zh-CN.vtt 2.0 KB
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- Part 16-Module 01-Lesson 12_Feature Selection/10. Feature Selection in TfIdf Vectorizer-oZkDSuhBEkE.en.vtt 2.0 KB
- Part 04-Module 01-Lesson 14_Regression/15. Fitting A Regression Line In Python-0CiMDbEUeS4.en.vtt 2.0 KB
- Part 04-Module 01-Lesson 14_Regression/02. Introduction to Machine Learning-pLcFPPI1L-0.en.vtt 2.0 KB
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- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/07. Ud1110 IntroPy L5 30 Finding The First Link-Z-uuXDrMzqM.ar.vtt 2.0 KB
- Part 15-Module 02-Lesson 08_Technical Interview - Python/02. Clarifying the Question-XvvKBmKC_84.pt-BR.vtt 2.0 KB
- Part 07-Module 01-Lesson 01_What is EDA/03. Go Exploring-dias-YUpewk.en.vtt 2.0 KB
- Part 16-Module 01-Lesson 08_Outliers/01. Outliers in Regression-hxxa0KAkB1o.pt-BR.vtt 2.0 KB
- Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/31. Small Multiples And Dual Axis-bx6MxsoDqsI.zh-CN.vtt 2.0 KB
- Part 16-Module 01-Lesson 12_Feature Selection/02. A New Enron Feature-m2-LkgEfLO0.pt-BR.vtt 2.0 KB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/08. The Demand of Diamonds-h-YgETh80h4.pt-BR.vtt 2.0 KB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/06. The Rise of Diamonds-MD9RIDRVc-A.en.vtt 2.0 KB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-b2zvrFL8AUw.ja.vtt 2.0 KB
- Part 09-Module 01-Lesson 04_Making Dashboards & Stories in Tableau/02. What's Ahead-ggbCydfI1JM.en.vtt 2.0 KB
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- Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/22. Bootstrapping-42j3YclcZ4Q.pt-BR.vtt 2.0 KB
- Part 04-Module 01-Lesson 16_Logistic Regression/15. Confusion Matrix for Eigenfaces--VxKwVvrNY0.zh-CN.vtt 2.0 KB
- Part 16-Module 01-Lesson 15_Evaluation Metrics/11. Confusion Matrix for Eigenfaces--VxKwVvrNY0.zh-CN.vtt 2.0 KB
- Part 03-Module 02-Lesson 01_The Data Analysis Process/26. Communicating Results Example-Ae_UOATWmDM.pt-BR.vtt 2.0 KB
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- Part 16-Module 01-Lesson 03_SVM/25. SVM Strengths and Weaknesses-U9-ZsbaaGAs.zh-CN.vtt 2.0 KB
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- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/38. NOT Operator-dSQF87oW8a0.zh-CN.vtt 2.0 KB
- Part 03-Module 03-Lesson 01_Basic SQL/40. NOT Operator-dSQF87oW8a0.zh-CN.vtt 2.0 KB
- Part 07-Module 01-Lesson 03_Explore One Variable/12. Limiting the Axes-1W3QAzrybMk.ja.vtt 2.0 KB
- Part 04-Module 01-Lesson 04_Probability/02. Flipping Coins-OpNufHYgJCg.ar.vtt 2.0 KB
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- Part 16-Module 01-Lesson 03_SVM/12. Coding Up the SVM-CvTXyvw7QLc.pt-BR.vtt 2.0 KB
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- Part 16-Module 01-Lesson 08_Outliers/04. Outlier DetectionRemoval Algorithm-hGKY6BAqJ6o.en.vtt 2.0 KB
- Part 06-Module 01-Lesson 01_Welcome to Term 2!/11. Time Commitment-d-VfUw7wNEQ.en.vtt 2.0 KB
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- Part 07-Module 01-Lesson 07_Explore Many Variables/15. Bias Variance Trade off Revisited-CSVf96g0XGM.en.vtt 2.0 KB
- Part 16-Module 01-Lesson 07_Regressions/36. Multi-Variate Regression Quiz 2-61sZUjEPzt0.zh-CN.vtt 2.0 KB
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- Part 16-Module 01-Lesson 08_Outliers/08. Outliers Mini-Project Video-GRN0Whyy4Lk.pt-BR.vtt 1.5 KB
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- Part 04-Module 01-Lesson 11_Confidence Intervals/07. Confidence Intervals Applications-C0wgmeRx9yE.en.vtt 1.5 KB
- Part 18-Module 01-Lesson 03_Control Flow/02. Indentation-G8qUNOTHtrM.ar.vtt 1.5 KB
- Part 07-Module 01-Lesson 01_What is EDA/08. Our Approach for This Course-dBsf-szQ00s.en.vtt 1.5 KB
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- Part 09-Module 01-Lesson 01_Introduction to Data Visualization/02. Why Do We Use Data Visualizations-iiOP4PE46f4.pt-BR.vtt 1.5 KB
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- Part 04-Module 01-Lesson 05_Binomial Distribution/06. 5 Flips 3 Heads-pOKmt4w8T3g.zh-CN.vtt 1.5 KB
- Part 15-Module 02-Lesson 08_Technical Interview - Python/04. Test Cases-7CNatJ7PqZ4.en-US.vtt 1.5 KB
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- Part 15-Module 02-Lesson 08_Technical Interview - Python/04. Test Cases-7CNatJ7PqZ4.en.vtt 1.5 KB
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- Part 16-Module 01-Lesson 02_Naive Bayes/04. Features and Labels Musical Example-rnv0-lG9yKU.zh-CN.vtt 1.5 KB
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- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/17. Performance Tuning 3-hIAE8W6x5O8.en.vtt 1.5 KB
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- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/19. Clean Programmatic Data Cleaning Process-9-T1CFuOqdQ.en.vtt 1.5 KB
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- Part 09-Module 01-Lesson 02_Design/01. Introduction-Q0lZkNF6O0g.en.vtt 1.5 KB
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- Part 18-Module 01-Lesson 04_Functions/01. Introduction-p5L4rTV1Pgk.pt-BR.vtt 1.5 KB
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- Part 16-Module 01-Lesson 07_Regressions/28. Evaluating Regression by Eye-hS7cpq-sOeQ.pt-BR.vtt 1.5 KB
- Part 09-Module 01-Lesson 01_Introduction to Data Visualization/17. Why Data Dashboards-8ni2lCqAVvQ.ar.vtt 1.5 KB
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- Part 02-Module 01-Lesson 02_Functions, Installation and Conditionals/12. Ud1110 IntroPy L237 Break Up Your Code Ideas-qrp8r48BPUs.zh-CN.vtt 1.5 KB
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- Part 04-Module 01-Lesson 04_Probability/19. Probability Conclusion-dsVKoXymYDU.en.vtt 1.5 KB
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- Part 04-Module 01-Lesson 07_Bayes Rule/32. Reducing Uncertainty-zuFMhmKQ--o.pt-BR.vtt 1.5 KB
- Part 16-Module 01-Lesson 02_Naive Bayes/19. GaussianNB Deployment on Terrain Data-VBs6D4ggnYY.en.vtt 1.5 KB
- Part 04-Module 01-Lesson 04_Probability/15. One Of Three 1-bDCXSxkochE.ar.vtt 1.5 KB
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- Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/06. Subqueries Part II-jko-RrZd0R8.zh-CN.vtt 1.5 KB
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- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/06. How Databases Store Data-H0C9z_sRvLE.pt-BR.vtt 1.4 KB
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- Part 02-Module 01-Lesson 01_Numbers and Strings/02. Ud1110 IntroPy L1 07 Arithmetic Expression In Python-Iq3ovQqBj1M.en.vtt 1.4 KB
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- Part 16-Module 01-Lesson 03_SVM/04. What Makes A Good Separating Line-cwjvMYPB1Fk.ja.vtt 1.4 KB
- Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program!/08. How Does Project Submission Work-jCJa_VP6qgg.ar.vtt 1.4 KB
- Part 06-Module 01-Lesson 01_Welcome to Term 2!/09. How Does Project Submission Work-jCJa_VP6qgg.ar.vtt 1.4 KB
- Part 04-Module 01-Lesson 04_Probability/18. Doubles-fkUyTJNbdzU.hr.vtt 1.4 KB
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- Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/09. Renaming Columns-3Oo4gUP2_Rw.en.vtt 1.4 KB
- Part 08-Module 02-Lesson 01_Gathering Data/15. Source APIs (Application Programming Interfaces)-1y_qjUMDsCw.en.vtt 1.4 KB
- Part 15-Module 01-Lesson 02_Practice Behavioral Questions/05. What Motivates You at the Workplace-Aa9SFwiRbho.zh-CN.vtt 1.4 KB
- Part 16-Module 01-Lesson 01_Welcome to Machine Learning/03. Introduction Pt. III-0ZuxGhiqo5U.pt-BR.vtt 1.4 KB
- Part 15-Module 02-Lesson 07_Case Studies in Algorithms/02. Shortest Path Problem-huKUM97Vve8.pt-BR.vtt 1.4 KB
- Part 07-Module 01-Lesson 03_Explore One Variable/17. Tenure-095MTpItufM.ja.vtt 1.4 KB
- Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/22. Clean Code 2 Solution-ncqhpqt0Mik.pt-BR.vtt 1.4 KB
- Part 16-Module 01-Lesson 02_Naive Bayes/19. GaussianNB Deployment on Terrain Data-VBs6D4ggnYY.pt-BR.vtt 1.4 KB
- Part 04-Module 01-Lesson 05_Binomial Distribution/09. Arrangements-GeINbOOYkF8.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 16-Module 01-Lesson 02_Naive Bayes/03. Supervised Classification Example-buxApBhZCO0.pt-BR.vtt 1.4 KB
- Part 08-Module 04-Lesson 01_Cleaning Data/05. Data Cleaning Process -BS_p9kwMEMk.pt-BR.vtt 1.4 KB
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- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/03. Parch Posey Database-JOMI560DgXg.pt-BR.vtt 1.4 KB
- Part 03-Module 03-Lesson 01_Basic SQL/02. Parch Posey Database-JOMI560DgXg.pt-BR.vtt 1.4 KB
- Part 04-Module 01-Lesson 15_Multiple Linear Regression/20. Interactions And Higher Order Terms-AOfXMiJgo48.pt-BR.vtt 1.4 KB
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- Part 16-Module 01-Lesson 11_Text Learning/08. Stopwords-E63RZli2F2o.zh-CN.vtt 1.3 KB
- Part 04-Module 01-Lesson 07_Bayes Rule/13. Normalizing Probability-yYqN9Mf4jqw.pt-BR.vtt 1.3 KB
- Part 03-Module 03-Lesson 01_Basic SQL/01. Introduction-Z8WNfx9Oq9s.en.vtt 1.3 KB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/02. Introduction-Z8WNfx9Oq9s.en.vtt 1.3 KB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/04. Quadratics-1R44jvxIPJY.pt-BR.vtt 1.3 KB
- Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/20. When Does the CLT Not Work-uZGTVUEMfrU.zh-CN.vtt 1.3 KB
- Part 16-Module 01-Lesson 04_Decision Trees/11. Min Samples Split-xU84TShi7I4.ar.vtt 1.3 KB
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- Part 16-Module 01-Lesson 02_Naive Bayes/07. Intro To Stanley Terrain Classification-TwFhCeov85E.en.vtt 1.3 KB
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- Part 04-Module 01-Lesson 04_Probability/15. One Of Three 1-bDCXSxkochE.pt-BR.vtt 1.3 KB
- Part 07-Module 01-Lesson 02_R Basics/16. Advice for Data Scientists-FdkhUOtHIFg.zh-CN.vtt 1.3 KB
- Part 04-Module 01-Lesson 06_Conditional Probability/14. Two Coins 4-9R44IyZ-aQI.es-ES.vtt 1.3 KB
- Part 07-Module 01-Lesson 05_Explore Two Variables/22. Understanding Noise Age to Age Months-cUDZ1vkmdnk.ja.vtt 1.3 KB
- Part 07-Module 01-Lesson 05_Explore Two Variables/12. Correlation-L9-lBQbknp0.ja.vtt 1.3 KB
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- Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/06. 5 Number Summary to Variance-Ljhau0hrZ1g.zh-CN.vtt 1.3 KB
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- Part 04-Module 01-Lesson 04_Probability/02. Flipping Coins-OpNufHYgJCg.zh-CN.vtt 1.3 KB
- Part 12-Module 01-Lesson 01_GitHub Review/08. Writing READMEs with Walter-DQEfT2Zq5_o.en.vtt 1.3 KB
- Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program!/07. Integrity and Mindset-zCOr3O50gQM.pt-BR.vtt 1.3 KB
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- Part 06-Module 01-Lesson 01_Welcome to Term 2!/08. Integrity and Mindset-zCOr3O50gQM.pt-BR.vtt 1.3 KB
- Part 16-Module 01-Lesson 05_Choose Your Own Algorithm/01. Choose Your own Algorithm-tpbHNLv-HT0.zh-CN.vtt 1.3 KB
- Part 04-Module 01-Lesson 11_Confidence Intervals/01. Confidence Intervals Introduction-crleT4000ak.zh-CN.vtt 1.3 KB
- Part 16-Module 01-Lesson 03_SVM/11. SVM Decision Boundary-8hEjeR0qLnA.en.vtt 1.3 KB
- Part 04-Module 01-Lesson 09_Normal Distribution Theory/14. Central Limit Theorem-9I8ysrRlmbA.ar.vtt 1.3 KB
- Part 07-Module 01-Lesson 02_R Basics/14. Setting Levels of Ordered Factors-HSeIrqW-YGw.en.vtt 1.3 KB
- Part 07-Module 01-Lesson 03_Explore One Variable/09. Be Skeptical Outliers and Anomalies-kAisC2wRGBU.zh-CN.vtt 1.3 KB
- Part 16-Module 01-Lesson 03_SVM/05. Practice with Margins-ICUYxC-8d7o.ar.vtt 1.3 KB
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- Part 04-Module 01-Lesson 07_Bayes Rule/29. Generalizing-SdMk3aROgSc.pt-BR.vtt 1.3 KB
- Part 04-Module 01-Lesson 04_Probability/02. Flipping Coins-OpNufHYgJCg.pt-BR.vtt 1.3 KB
- Part 11-Module 01-Lesson 04_Add Commits To A Repo/07. Outro-5eyvsMvAPYs.en.vtt 1.3 KB
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- Part 07-Module 01-Lesson 07_Explore Many Variables/09. Third Quantitative Variable-sS-lw3LxATY.ja.vtt 1.3 KB
- Part 07-Module 01-Lesson 03_Explore One Variable/10. Moira's Outlier-vxS-Kh4eI0U.ar.vtt 1.3 KB
- Part 16-Module 01-Lesson 02_Naive Bayes/24. Cancer Test-uHIZl6MCiPY.ar.vtt 1.3 KB
- Part 03-Module 03-Lesson 05_SQL Data Cleaning/14. COALESCE-86vgu-ECBCQ.zh-CN.vtt 1.3 KB
- Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/12. Plot Colors for Qualitative Factors-2ZVGl6LrOPw.zh-CN.vtt 1.3 KB
- Part 16-Module 01-Lesson 04_Decision Trees/11. Min Samples Split-Mt5TWGYacJs.ar.vtt 1.3 KB
- Part 15-Module 02-Lesson 08_Technical Interview - Python/04. Test Cases-7CNatJ7PqZ4.zh-CN.vtt 1.3 KB
- Part 09-Module 01-Lesson 02_Design/01. Introduction-Q0lZkNF6O0g.zh-CN.vtt 1.3 KB
- Part 08-Module 04-Lesson 01_Cleaning Data/04. Manual Vs Programmatic Cleaning -AQFBVQy_HyY.ar.vtt 1.3 KB
- Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.ar.vtt 1.3 KB
- Part 16-Module 01-Lesson 06_Datasets and Questions/11. Enron Dataset Mini-Project Video-0zGp5er3fy4.ar.vtt 1.3 KB
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- Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/02. Data Overview-V-iPdJfrscQ.pt-BR.vtt 1.3 KB
- Part 07-Module 01-Lesson 05_Explore Two Variables/15. Create Scatterplots-AtmfksGs-0I.en.vtt 1.3 KB
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- Part 16-Module 01-Lesson 03_SVM/22. SVM C Parameter-WVg5-vxQDm8.ar.vtt 1.3 KB
- Part 04-Module 01-Lesson 04_Probability/02. Flipping Coins-OpNufHYgJCg.ja.vtt 1.3 KB
- Part 04-Module 01-Lesson 07_Bayes Rule/02. Cancer Test-FnNveASivMA.ar.vtt 1.3 KB
- Part 16-Module 01-Lesson 13_PCA/07. Center of a New Coordinate System-Kst3mlrqJnQ.ar.vtt 1.3 KB
- Part 16-Module 01-Lesson 09_Clustering/09. K-Means Cluster Visualization-iCTPBcowJRY.zh-CN.vtt 1.3 KB
- Part 07-Module 01-Lesson 07_Explore Many Variables/20. Prices Over Time-DIrLvDqhjCg.en.vtt 1.3 KB
- Part 16-Module 01-Lesson 12_Feature Selection/01. Why Feature Selection-S-xe0-XNo4I.zh-CN.vtt 1.3 KB
- Part 04-Module 01-Lesson 07_Bayes Rule/29. Generalizing-SdMk3aROgSc.es-ES.vtt 1.3 KB
- Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/11. UNION 3-oVGmi4zBOT8.ar.vtt 1.3 KB
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- Part 16-Module 01-Lesson 12_Feature Selection/08. Features != Information-GOrv8faKHV4.zh-CN.vtt 1.3 KB
- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/07. Types Of Statements-vLvJbIz94C4.zh-CN.vtt 1.3 KB
- Part 08-Module 02-Lesson 01_Gathering Data/22. Types Of Statements-vLvJbIz94C4.zh-CN.vtt 1.3 KB
- Part 03-Module 03-Lesson 01_Basic SQL/09. Types Of Statements-vLvJbIz94C4.zh-CN.vtt 1.3 KB
- Part 16-Module 01-Lesson 13_PCA/15. From Four Features to Two-xJtmPbEfpFo.ar.vtt 1.3 KB
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- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/06. How Databases Store Data-H0C9z_sRvLE.en.vtt 1.3 KB
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- Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/01. Intro Project Explore Weather Trends-xneztkf0TsY.pt-BR.vtt 1.3 KB
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- Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/04. Ud1110 IntroPy L5 22 Continue Crawl Solution-tLhTfSZ6LRA.pt-BR.vtt 1.3 KB
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