[Udemy] Complete Machine Learning & Data Science Bootcamp 2022 (11.2021)

Creation Time	Aug. 26, 2023, 5:49 p.m.
Last Access Time	Nov. 25, 2024, 1:59 p.m.
File Size	16.3 GB
Keywords	11 Complete Science Udemy Machine 2022 Learning Bootcamp Data 2021
Total Requests	177
Total Files	731
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

09 - Scikit-learn_ Creating Machine Learning Models/017 NEW_ Choosing The Right Model For Your Data.mp4 234.3 MB
09 - Scikit-learn_ Creating Machine Learning Models/040 NEW_ Evaluating A Model With Cross Validation and Scoring Parameter.mp4 224.9 MB
05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4 190.9 MB
09 - Scikit-learn_ Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4 184.6 MB
16 - Career Advice + Extra Bits/009 CWD_ Git + Github.mp4 176.3 MB
09 - Scikit-learn_ Creating Machine Learning Models/008 Optional_ Debugging Warnings In Jupyter.mp4 171.5 MB
09 - Scikit-learn_ Creating Machine Learning Models/043 Tuning Hyperparameters.mp4 168.0 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4 163.1 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/008 Feature Engineering.mp4 157.4 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4 153.7 MB
16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience_.mp4 147.4 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/009 Turning Data Into Numbers.mp4 144.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/050 Putting It All Together.mp4 143.2 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/021 Feature Importance.mp4 140.5 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/037 Visualizing And Evaluate Model Predictions 2.mp4 140.3 MB
05 - Data Science Environment Setup/005 Mac Environment Setup.mp4 139.6 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/010 Finding Patterns 3.mp4 135.9 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/006 Exploring Our Data.mp4 135.5 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4 132.1 MB
09 - Scikit-learn_ Creating Machine Learning Models/016 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4 131.4 MB
09 - Scikit-learn_ Creating Machine Learning Models/011 Getting Your Data Ready_ Convert Data To Numbers.mp4 130.9 MB
09 - Scikit-learn_ Creating Machine Learning Models/041 NEW_ Evaluating A Model With Scikit-learn Functions.mp4 130.4 MB
09 - Scikit-learn_ Creating Machine Learning Models/018 NEW_ Choosing The Right Model For Your Data 2 (Regression).mp4 128.6 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/021 Turning Data Into Batches 2.mp4 127.0 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/035 Transform Predictions To Text.mp4 126.3 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/039 Saving And Loading A Trained Model.mp4 124.8 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/022 Finding The Most Important Features.mp4 123.7 MB
08 - Matplotlib_ Plotting and Data Visualization/018 Customizing Your Plots 2.mp4 123.7 MB
05 - Data Science Environment Setup/006 Mac Environment Setup 2.mp4 122.2 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/025 Building A Deep Learning Model.mp4 120.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/041 Making Predictions On Test Images.mp4 120.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/022 Visualizing Our Data.mp4 120.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/043 Making Predictions On Our Images.mp4 119.4 MB
08 - Matplotlib_ Plotting and Data Visualization/016 Plotting from Pandas DataFrames 7.mp4 118.9 MB
09 - Scikit-learn_ Creating Machine Learning Models/045 Tuning Hyperparameters 3.mp4 118.1 MB
09 - Scikit-learn_ Creating Machine Learning Models/044 Tuning Hyperparameters 2.mp4 116.9 MB
09 - Scikit-learn_ Creating Machine Learning Models/021 Choosing The Right Model For Your Data 3 (Classification).mp4 115.9 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/036 Visualizing Model Predictions.mp4 115.7 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/019 Preproccessing Our Data.mp4 114.6 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/009 Importing TensorFlow 2.mp4 114.4 MB
09 - Scikit-learn_ Creating Machine Learning Models/051 Putting It All Together 2.mp4 114.2 MB
16 - Career Advice + Extra Bits/012 Contributing To Open Source 2.mp4 113.0 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/038 Visualizing And Evaluate Model Predictions 3.mp4 112.5 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/014 Loading Our Data Labels.mp4 112.4 MB
16 - Career Advice + Extra Bits/011 Contributing To Open Source.mp4 109.4 MB
09 - Scikit-learn_ Creating Machine Learning Models/034 NEW_ Evaluating A Classification Model 5 (Confusion Matrix).mp4 106.5 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/015 Tuning Hyperparameters.mp4 106.3 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/027 Building A Deep Learning Model 3.mp4 105.4 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/016 Turning Data Labels Into Numbers.mp4 105.0 MB
06 - Pandas_ Data Analysis/008 Selecting and Viewing Data with Pandas Part 2.mp4 103.4 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/010 Filling Missing Numerical Values.mp4 103.4 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/014 Tuning_Improving Our Model.mp4 102.9 MB
16 - Career Advice + Extra Bits/010 CWD_ Git + Github 2.mp4 102.6 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/005 Step 1~4 Framework Setup.mp4 102.3 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/042 Submitting Model to Kaggle.mp4 101.9 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/016 Tuning Hyperparameters 2.mp4 101.7 MB
06 - Pandas_ Data Analysis/009 Manipulating Data.mp4 100.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/036 NEW_ Evaluating A Regression Model 1 (R2 Score).mp4 99.4 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/004 Project Environment Setup.mp4 99.1 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/003 Project Environment Setup.mp4 98.0 MB
08 - Matplotlib_ Plotting and Data Visualization/011 Plotting From Pandas DataFrames 2.mp4 97.3 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/012 Choosing The Right Models.mp4 96.3 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/009 Finding Patterns 2.mp4 94.3 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/016 Reducing Data.mp4 91.4 MB
06 - Pandas_ Data Analysis/004 Series, Data Frames and CSVs.mp4 91.1 MB
08 - Matplotlib_ Plotting and Data Visualization/017 Customizing Your Plots.mp4 91.0 MB
09 - Scikit-learn_ Creating Machine Learning Models/042 Improving A Machine Learning Model.mp4 90.9 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/026 Building A Deep Learning Model 2.mp4 88.6 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/018 Preprocess Images.mp4 88.1 MB
05 - Data Science Environment Setup/012 Jupyter Notebook Walkthrough 2.mp4 87.6 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/019 Preprocess Images 2.mp4 87.2 MB
07 - NumPy/013 Exercise_ Nut Butter Store Sales.mp4 87.2 MB
08 - Matplotlib_ Plotting and Data Visualization/003 Importing And Using Matplotlib.mp4 86.5 MB
09 - Scikit-learn_ Creating Machine Learning Models/035 Evaluating A Classification Model 6 (Classification Report).mp4 84.9 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/023 Reviewing The Project.mp4 84.8 MB
06 - Pandas_ Data Analysis/010 Manipulating Data 2.mp4 84.3 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/005 Step 1~4 Framework Setup.mp4 84.1 MB
07 - NumPy/012 Dot Product vs Element Wise.mp4 83.7 MB
09 - Scikit-learn_ Creating Machine Learning Models/028 Evaluating A Machine Learning Model 2 (Cross Validation).mp4 81.5 MB
09 - Scikit-learn_ Creating Machine Learning Models/025 NEW_ Making Predictions With Our Model (Regression).mp4 79.2 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/011 Using A GPU.mp4 78.9 MB
18 - Learn Python Part 2/045 Modules in Python.mp4 78.1 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/018 Improving Hyperparameters.mp4 78.0 MB
09 - Scikit-learn_ Creating Machine Learning Models/033 Evaluating A Classification Model 4 (Confusion Matrix).mp4 77.7 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/020 Making Predictions.mp4 77.4 MB
01 - Introduction/001 Course Outline.mp4 77.3 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/006 Getting Our Tools Ready.mp4 76.8 MB
06 - Pandas_ Data Analysis/011 Manipulating Data 3.mp4 76.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/006 Scikit-learn Cheatsheet.mp4 75.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/020 Turning Data Into Batches.mp4 74.6 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/004 Setting Up Google Colab.mp4 73.7 MB
08 - Matplotlib_ Plotting and Data Visualization/012 Plotting from Pandas DataFrames 3.mp4 73.4 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/033 Evaluating Performance With TensorBoard.mp4 73.3 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/017 RandomizedSearchCV.mp4 72.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/028 Building A Deep Learning Model 4.mp4 72.0 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/013 Optional_ Reloading Colab Notebook.mp4 71.9 MB
07 - NumPy/016 Turn Images Into NumPy Arrays.mp4 71.3 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/011 Preparing Our Data For Machine Learning.mp4 70.4 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/002 Deep Learning and Unstructured Data.mp4 69.8 MB
05 - Data Science Environment Setup/013 Jupyter Notebook Walkthrough 3.mp4 69.7 MB
17 - Learn Python/002 Python Interpreter.mp4 68.5 MB
07 - NumPy/008 Manipulating Arrays.mp4 68.5 MB
13 - Data Engineering/009 Optional_ OLTP Databases.mp4 68.2 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/019 Evaluating Our Model.mp4 68.0 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/015 Custom Evaluation Function.mp4 67.5 MB
08 - Matplotlib_ Plotting and Data Visualization/015 Plotting from Pandas DataFrames 6.mp4 67.5 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/030 Evaluating Our Model.mp4 67.2 MB
17 - Learn Python/006 Python 2 vs Python 3.mp4 65.8 MB
06 - Pandas_ Data Analysis/013 How To Download The Course Assignments.mp4 64.6 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/011 Filling Missing Categorical Values.mp4 64.6 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/007 Exploring Our Data.mp4 64.5 MB
09 - Scikit-learn_ Creating Machine Learning Models/023 Making Predictions With Our Model.mp4 64.1 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/021 Evaluating Our Model 3.mp4 62.1 MB
18 - Learn Python Part 2/048 Packages in Python.mp4 61.8 MB
06 - Pandas_ Data Analysis/007 Selecting and Viewing Data with Pandas.mp4 61.7 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/017 Tuning Hyperparameters 3.mp4 61.5 MB
09 - Scikit-learn_ Creating Machine Learning Models/009 Getting Your Data Ready_ Splitting Your Data.mp4 61.0 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/008 Finding Patterns.mp4 60.3 MB
07 - NumPy/007 Viewing Arrays and Matrices.mp4 59.4 MB
09 - Scikit-learn_ Creating Machine Learning Models/038 NEW_ Evaluating A Regression Model 3 (MSE).mp4 58.8 MB
07 - NumPy/009 Manipulating Arrays 2.mp4 58.0 MB
08 - Matplotlib_ Plotting and Data Visualization/006 Histograms And Subplots.mp4 57.5 MB
17 - Learn Python/017 Variables.mp4 56.9 MB
05 - Data Science Environment Setup/011 Jupyter Notebook Walkthrough.mp4 56.8 MB
07 - NumPy/004 NumPy DataTypes and Attributes.mp4 56.6 MB
18 - Learn Python Part 2/002 Conditional Logic.mp4 56.5 MB
09 - Scikit-learn_ Creating Machine Learning Models/030 Evaluating A Classification Model 2 (ROC Curve).mp4 56.3 MB
07 - NumPy/005 Creating NumPy Arrays.mp4 56.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/017 Creating Our Own Validation Set.mp4 55.5 MB
17 - Learn Python/011 Numbers.mp4 55.0 MB
08 - Matplotlib_ Plotting and Data Visualization/014 Plotting from Pandas DataFrames 5.mp4 54.4 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/013 Experimenting With Machine Learning Models.mp4 53.9 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/012 Fitting A Machine Learning Model.mp4 53.5 MB
08 - Matplotlib_ Plotting and Data Visualization/004 Anatomy Of A Matplotlib Figure.mp4 53.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/027 NEW_ Evaluating A Machine Learning Model (Score) Part 2.mp4 52.9 MB
17 - Learn Python/049 Sets 2.mp4 52.4 MB
07 - NumPy/011 Reshape and Transpose.mp4 51.4 MB
06 - Pandas_ Data Analysis/006 Describing Data with Pandas.mp4 51.2 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/007 Exploring Our Data 2.mp4 50.7 MB
09 - Scikit-learn_ Creating Machine Learning Models/048 Saving And Loading A Model.mp4 50.4 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/006 Uploading Project Data.mp4 50.2 MB
08 - Matplotlib_ Plotting and Data Visualization/019 Saving And Sharing Your Plots.mp4 49.6 MB
08 - Matplotlib_ Plotting and Data Visualization/009 Plotting From Pandas DataFrames.mp4 49.5 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/040 Training Model On Full Dataset.mp4 48.6 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/023 Preparing Our Inputs and Outputs.mp4 48.0 MB
09 - Scikit-learn_ Creating Machine Learning Models/031 Evaluating A Classification Model 3 (ROC Curve).mp4 47.7 MB
17 - Learn Python/013 DEVELOPER FUNDAMENTALS_ I.mp4 47.7 MB
09 - Scikit-learn_ Creating Machine Learning Models/049 Saving And Loading A Model 2.mp4 47.7 MB
18 - Learn Python Part 2/018 Our First GUI.mp4 46.1 MB
09 - Scikit-learn_ Creating Machine Learning Models/013 Getting Your Data Ready_ Handling Missing Values With Pandas.mp4 45.6 MB
08 - Matplotlib_ Plotting and Data Visualization/005 Scatter Plot And Bar Plot.mp4 44.6 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/029 Summarizing Our Model.mp4 44.4 MB
17 - Learn Python/027 Built-In Functions + Methods.mp4 44.1 MB
09 - Scikit-learn_ Creating Machine Learning Models/037 NEW_ Evaluating A Regression Model 2 (MAE).mp4 42.9 MB
02 - Machine Learning 101/003 Exercise_ Machine Learning Playground.mp4 42.6 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/007 Setting Up Our Data.mp4 41.4 MB
17 - Learn Python/035 List Methods.mp4 40.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/024 predict() vs predict_proba().mp4 39.1 MB
09 - Scikit-learn_ Creating Machine Learning Models/022 Fitting A Model To The Data.mp4 38.4 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/012 Optional_ GPU and Google Colab.mp4 38.3 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/013 Splitting Data.mp4 37.0 MB
07 - NumPy/010 Standard Deviation and Variance.mp4 36.8 MB
18 - Learn Python Part 2/024 return.mp4 36.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/026 NEW_ Evaluating A Machine Learning Model (Score) Part 1.mp4 36.6 MB
07 - NumPy/006 NumPy Random Seed.mp4 36.5 MB
17 - Learn Python/003 How To Run Python Code.mp4 36.4 MB
18 - Learn Python Part 2/004 Truthy vs Falsey.mp4 36.3 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/031 Preventing Overfitting.mp4 35.3 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/020 Evaluating Our Model 2.mp4 34.6 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/004 Optional_ Windows Project Environment Setup.mp4 34.5 MB
18 - Learn Python Part 2/037 map().mp4 33.5 MB
05 - Data Science Environment Setup/007 Windows Environment Setup.mp4 32.9 MB
18 - Learn Python Part 2/029 _args and __kwargs.mp4 32.8 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/005 Google Colab Workspace.mp4 32.2 MB
08 - Matplotlib_ Plotting and Data Visualization/007 Subplots Option 2.mp4 31.2 MB
02 - Machine Learning 101/004 How Did We Get Here_.mp4 30.5 MB
18 - Learn Python Part 2/036 Pure Functions.mp4 30.0 MB
09 - Scikit-learn_ Creating Machine Learning Models/029 Evaluating A Classification Model 1 (Accuracy).mp4 29.9 MB
17 - Learn Python/004 Our First Python Program.mp4 29.8 MB
02 - Machine Learning 101/001 What Is Machine Learning_.mp4 28.3 MB
17 - Learn Python/045 Dictionary Methods 2.mp4 28.2 MB
18 - Learn Python Part 2/026 Methods vs Functions.mp4 26.3 MB
17 - Learn Python/012 Math Functions.mp4 25.9 MB
18 - Learn Python Part 2/047 Optional_ PyCharm.mp4 25.4 MB
18 - Learn Python Part 2/019 DEVELOPER FUNDAMENTALS_ IV.mp4 24.7 MB
17 - Learn Python/037 List Methods 3.mp4 24.5 MB
13 - Data Engineering/007 Types Of Databases.mp4 24.3 MB
18 - Learn Python Part 2/041 List Comprehensions.mp4 24.3 MB
07 - NumPy/015 Sorting Arrays.mp4 24.3 MB
17 - Learn Python/048 Sets.mp4 24.3 MB
13 - Data Engineering/004 What Is A Data Engineer 2_.mp4 24.2 MB
18 - Learn Python Part 2/049 Different Ways To Import.mp4 24.0 MB
18 - Learn Python Part 2/040 reduce().mp4 23.8 MB
18 - Learn Python Part 2/011 Iterables.mp4 23.5 MB
03 - Machine Learning and Data Science Framework/003 6 Step Machine Learning Framework.mp4 23.4 MB
07 - NumPy/014 Comparison Operators.mp4 22.0 MB
17 - Learn Python/024 Formatted Strings.mp4 21.8 MB
17 - Learn Python/029 Exercise_ Type Conversion.mp4 21.8 MB
18 - Learn Python Part 2/033 global Keyword.mp4 21.4 MB
18 - Learn Python Part 2/021 Functions.mp4 21.3 MB
17 - Learn Python/031 Exercise_ Password Checker.mp4 21.3 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/008 Setting Up Our Data 2.mp4 21.0 MB
03 - Machine Learning and Data Science Framework/004 Types of Machine Learning Problems.mp4 21.0 MB
08 - Matplotlib_ Plotting and Data Visualization/002 Matplotlib Introduction.mp4 20.9 MB
18 - Learn Python Part 2/013 range().mp4 20.8 MB
03 - Machine Learning and Data Science Framework/005 Types of Data.mp4 20.0 MB
02 - Machine Learning 101/002 AI_Machine Learning_Data Science.mp4 19.7 MB
05 - Data Science Environment Setup/002 Introducing Our Tools.mp4 19.3 MB
18 - Learn Python Part 2/008 Exercise_ Logical Operators.mp4 19.0 MB
18 - Learn Python Part 2/032 Scope Rules.mp4 18.9 MB
17 - Learn Python/001 What Is A Programming Language.mp4 18.8 MB
17 - Learn Python/030 DEVELOPER FUNDAMENTALS_ II.mp4 18.7 MB
03 - Machine Learning and Data Science Framework/011 Modelling - Comparison.mp4 18.2 MB
18 - Learn Python Part 2/023 Default Parameters and Keyword Arguments.mp4 18.1 MB
09 - Scikit-learn_ Creating Machine Learning Models/004 Refresher_ What Is Machine Learning_.mp4 17.8 MB
17 - Learn Python/036 List Methods 2.mp4 17.6 MB
18 - Learn Python Part 2/028 Clean Code.mp4 17.6 MB
17 - Learn Python/033 List Slicing.mp4 17.5 MB
17 - Learn Python/025 String Indexes.mp4 17.4 MB
09 - Scikit-learn_ Creating Machine Learning Models/002 Scikit-learn Introduction.mp4 17.2 MB
18 - Learn Python Part 2/042 Set Comprehensions.mp4 17.1 MB
17 - Learn Python/038 Common List Patterns.mp4 16.8 MB
18 - Learn Python Part 2/010 For Loops.mp4 16.4 MB
09 - Scikit-learn_ Creating Machine Learning Models/047 Quick Tip_ Correlation Analysis.mp4 16.3 MB
03 - Machine Learning and Data Science Framework/010 Modelling - Tuning.mp4 16.0 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/002 Project Overview.mp4 15.9 MB
13 - Data Engineering/002 What Is Data_.mp4 15.2 MB
18 - Learn Python Part 2/009 is vs ==.mp4 15.1 MB
03 - Machine Learning and Data Science Framework/007 Features In Data.mp4 14.8 MB
05 - Data Science Environment Setup/004 Conda Environments.mp4 14.6 MB
18 - Learn Python Part 2/007 Logical Operators.mp4 14.6 MB
17 - Learn Python/022 Type Conversion.mp4 14.6 MB
13 - Data Engineering/013 Kafka and Stream Processing.mp4 14.4 MB
08 - Matplotlib_ Plotting and Data Visualization/013 Plotting from Pandas DataFrames 4.mp4 14.3 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/010 Optional_ TensorFlow 2.0 Default Issue.mp4 14.0 MB
18 - Learn Python Part 2/015 While Loops.mp4 13.9 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/002 Project Overview.mp4 13.7 MB
07 - NumPy/002 NumPy Introduction.mp4 13.6 MB
13 - Data Engineering/005 What Is A Data Engineer 3_.mp4 13.1 MB
03 - Machine Learning and Data Science Framework/014 Tools We Will Use.mp4 12.9 MB
17 - Learn Python/041 Dictionaries.mp4 12.5 MB
05 - Data Science Environment Setup/003 What is Conda_.mp4 12.5 MB
17 - Learn Python/009 Python Data Types.mp4 11.9 MB
02 - Machine Learning 101/008 What Is Machine Learning_ Round 2.mp4 11.9 MB
03 - Machine Learning and Data Science Framework/013 Experimentation.mp4 11.5 MB
18 - Learn Python Part 2/016 While Loops 2.mp4 11.5 MB
18 - Learn Python Part 2/003 Indentation In Python.mp4 11.3 MB
03 - Machine Learning and Data Science Framework/008 Modelling - Splitting Data.mp4 11.3 MB
17 - Learn Python/020 Strings.mp4 11.2 MB
06 - Pandas_ Data Analysis/003 Pandas Introduction.mp4 11.1 MB
18 - Learn Python Part 2/030 Exercise_ Functions.mp4 10.7 MB
17 - Learn Python/016 Optional_ bin() and complex.mp4 10.7 MB
15 - Storytelling + Communication_ How To Present Your Work/005 Weekend Project Principle.mp4 10.3 MB
18 - Learn Python Part 2/027 Docstrings.mp4 10.3 MB
18 - Learn Python Part 2/039 zip().mp4 10.2 MB
17 - Learn Python/044 Dictionary Methods.mp4 10.1 MB
17 - Learn Python/046 Tuples.mp4 10.0 MB
18 - Learn Python Part 2/038 filter().mp4 9.9 MB
09 - Scikit-learn_ Creating Machine Learning Models/010 Quick Tip_ Clean, Transform, Reduce.mp4 9.7 MB
18 - Learn Python Part 2/043 Exercise_ Comprehensions.mp4 9.6 MB
02 - Machine Learning 101/006 Types of Machine Learning.mp4 9.6 MB
13 - Data Engineering/003 What Is A Data Engineer_.mp4 9.5 MB
18 - Learn Python Part 2/014 enumerate().mp4 9.4 MB
17 - Learn Python/007 Exercise_ How Does Python Work_.mp4 9.3 MB
18 - Learn Python Part 2/034 nonlocal Keyword.mp4 9.3 MB
18 - Learn Python Part 2/022 Parameters and Arguments.mp4 9.3 MB
18 - Learn Python Part 2/017 break, continue, pass.mp4 9.3 MB
17 - Learn Python/032 Lists.mp4 8.9 MB
02 - Machine Learning 101/005 Exercise_ YouTube Recommendation Engine.mp4 8.9 MB
03 - Machine Learning and Data Science Framework/009 Modelling - Picking the Model.mp4 8.7 MB
17 - Learn Python/034 Matrix.mp4 8.7 MB
17 - Learn Python/023 Escape Sequences.mp4 8.7 MB
17 - Learn Python/042 DEVELOPER FUNDAMENTALS_ III.mp4 8.7 MB
18 - Learn Python Part 2/035 Why Do We Need Scope_.mp4 8.6 MB
18 - Learn Python Part 2/020 Exercise_ Find Duplicates.mp4 8.5 MB
15 - Storytelling + Communication_ How To Present Your Work/002 Communicating Your Work.mp4 8.4 MB
18 - Learn Python Part 2/005 Ternary Operator.mp4 8.3 MB
17 - Learn Python/026 Immutability.mp4 8.2 MB
18 - Learn Python Part 2/006 Short Circuiting.mp4 8.2 MB
18 - Learn Python Part 2/031 Scope.mp4 8.1 MB
07 - NumPy/001 Section Overview.mp4 8.1 MB
17 - Learn Python/043 Dictionary Keys.mp4 7.9 MB
16 - Career Advice + Extra Bits/007 JTS_ Start With Why.mp4 7.5 MB
17 - Learn Python/028 Booleans.mp4 7.5 MB
13 - Data Engineering/006 What Is A Data Engineer 4_.mp4 7.4 MB
18 - Learn Python Part 2/001 Breaking The Flow.mp4 7.4 MB
15 - Storytelling + Communication_ How To Present Your Work/004 Communicating With Co-Workers.mp4 7.3 MB
07 - NumPy/21708696-numpy-images.zip 7.3 MB
01 - Introduction/004 Your First Day.mp4 7.3 MB
17 - Learn Python/005 Latest Version Of Python.mp4 7.0 MB
15 - Storytelling + Communication_ How To Present Your Work/003 Communicating With Managers.mp4 6.7 MB
13 - Data Engineering/001 Data Engineering Introduction.mp4 6.6 MB
17 - Learn Python/008 Learning Python.mp4 6.6 MB
03 - Machine Learning and Data Science Framework/006 Types of Evaluation.mp4 6.5 MB
03 - Machine Learning and Data Science Framework/001 Section Overview.mp4 6.3 MB
15 - Storytelling + Communication_ How To Present Your Work/006 Communicating With Outside World.mp4 6.3 MB
17 - Learn Python/047 Tuples 2.mp4 6.2 MB
17 - Learn Python/039 List Unpacking.mp4 6.2 MB
17 - Learn Python/014 Operator Precedence.mp4 5.8 MB
17 - Learn Python/019 Augmented Assignment Operator.mp4 5.7 MB
09 - Scikit-learn_ Creating Machine Learning Models/001 Section Overview.mp4 5.6 MB
18 - Learn Python Part 2/012 Exercise_ Tricky Counter.mp4 5.5 MB
13 - Data Engineering/011 Hadoop, HDFS and MapReduce.mp4 5.1 MB
15 - Storytelling + Communication_ How To Present Your Work/007 Storytelling.mp4 4.9 MB
20 - Where To Go From Here_/002 Thank You.mp4 4.5 MB
08 - Matplotlib_ Plotting and Data Visualization/008 Quick Tip_ Data Visualizations.mp4 4.4 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/001 Section Overview.mp4 4.3 MB
04 - The 2 Paths/001 The 2 Paths.mp4 4.3 MB
03 - Machine Learning and Data Science Framework/002 Introducing Our Framework.mp4 4.2 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/001 Section Overview.mp4 3.7 MB
06 - Pandas_ Data Analysis/001 Section Overview.mp4 3.6 MB
15 - Storytelling + Communication_ How To Present Your Work/001 Section Overview.mp4 3.4 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/001 Section Overview.mp4 3.3 MB
17 - Learn Python/018 Expressions vs Statements.mp4 3.2 MB
17 - Learn Python/040 None.mp4 3.1 MB
08 - Matplotlib_ Plotting and Data Visualization/001 Section Overview.mp4 2.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/020 Quick Tip_ How ML Algorithms Work.mp4 2.8 MB
16 - Career Advice + Extra Bits/006 JTS_ Learn to Learn.mp4 2.6 MB
13 - Data Engineering/012 Apache Spark and Apache Flink.mp4 2.6 MB
02 - Machine Learning 101/009 Section Review.mp4 2.2 MB
17 - Learn Python/021 String Concatenation.mp4 2.2 MB
05 - Data Science Environment Setup/001 Section Overview.mp4 1.9 MB
08 - Matplotlib_ Plotting and Data Visualization/21709558-matplotlib-anatomy-of-a-plot-with-code.png 654.8 KB
08 - Matplotlib_ Plotting and Data Visualization/21709556-matplotlib-anatomy-of-a-plot.png 369.4 KB
06 - Pandas_ Data Analysis/21708212-pandas-anatomy-of-a-dataframe.png 333.2 KB
06 - Pandas_ Data Analysis/21708220-pandas-anatomy-of-a-dataframe.png 333.2 KB
05 - Data Science Environment Setup/22591460-6-step-ml-framework.png 324.2 KB
05 - Data Science Environment Setup/21708590-conda-cheatsheet.pdf 201.3 KB
09 - Scikit-learn_ Creating Machine Learning Models/040 NEW_ Evaluating A Model With Cross Validation and Scoring Parameter-en_US.srt 36.5 KB
05 - Data Science Environment Setup/008 Windows Environment Setup 2-en_US.srt 33.3 KB
09 - Scikit-learn_ Creating Machine Learning Models/043 Tuning Hyperparameters-en_US.srt 32.4 KB
09 - Scikit-learn_ Creating Machine Learning Models/017 NEW_ Choosing The Right Model For Your Data-en_US.srt 30.1 KB
09 - Scikit-learn_ Creating Machine Learning Models/007 Typical scikit-learn Workflow_en.vtt 28.4 KB
09 - Scikit-learn_ Creating Machine Learning Models/008 Optional_ Debugging Warnings In Jupyter-en_US.srt 26.8 KB
05 - Data Science Environment Setup/005 Mac Environment Setup-en_US.srt 25.8 KB
09 - Scikit-learn_ Creating Machine Learning Models/050 Putting It All Together_en.vtt 25.0 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network-en_US.srt 25.0 KB
09 - Scikit-learn_ Creating Machine Learning Models/016 Getting Your Data Ready_ Handling Missing Values With Scikit-learn-en_US.srt 24.8 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/009 Finding Patterns 2-en_US.srt 24.2 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/022 Finding The Most Important Features-en_US.srt 23.6 KB
09 - Scikit-learn_ Creating Machine Learning Models/011 Getting Your Data Ready_ Convert Data To Numbers-en_US.srt 23.4 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/009 Turning Data Into Numbers-en_US.srt 22.8 KB
05 - Data Science Environment Setup/012 Jupyter Notebook Walkthrough 2-en_US.srt 22.7 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/008 Feature Engineering-en_US.srt 22.3 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/021 Turning Data Into Batches 2-en_US.srt 21.8 KB
05 - Data Science Environment Setup/006 Mac Environment Setup 2-en_US.srt 21.7 KB
16 - Career Advice + Extra Bits/009 CWD_ Git + Github-en_US.srt 21.5 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/006 Exploring Our Data-en_US.srt 21.4 KB
09 - Scikit-learn_ Creating Machine Learning Models/034 NEW_ Evaluating A Classification Model 5 (Confusion Matrix)-en_US.srt 21.3 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/041 Making Predictions On Test Images-en_US.srt 21.3 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/002 Deep Learning and Unstructured Data-en_US.srt 21.0 KB
09 - Scikit-learn_ Creating Machine Learning Models/22295379-scikit-learn-data.zip 20.8 KB
09 - Scikit-learn_ Creating Machine Learning Models/045 Tuning Hyperparameters 3-en_US.srt 20.4 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions-en_US.srt 20.3 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/043 Making Predictions On Our Images-en_US.srt 20.2 KB
09 - Scikit-learn_ Creating Machine Learning Models/041 NEW_ Evaluating A Model With Scikit-learn Functions-en_US.srt 20.2 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/040 Training Model On Full Dataset-en_US.srt 20.2 KB
07 - NumPy/004 NumPy DataTypes and Attributes-en_US.srt 20.0 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/010 Finding Patterns 3-en_US.srt 19.5 KB
16 - Career Advice + Extra Bits/010 CWD_ Git + Github 2-en_US.srt 19.5 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/035 Transform Predictions To Text-en_US.srt 19.2 KB
06 - Pandas_ Data Analysis/008 Selecting and Viewing Data with Pandas Part 2-en_US.srt 19.0 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/014 Tuning_Improving Our Model-en_US.srt 18.9 KB
06 - Pandas_ Data Analysis/009 Manipulating Data-en_US.srt 18.6 KB
09 - Scikit-learn_ Creating Machine Learning Models/021 Choosing The Right Model For Your Data 3 (Classification)-en_US.srt 18.5 KB
06 - Pandas_ Data Analysis/004 Series, Data Frames and CSVs-en_US.srt 18.4 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/037 Visualizing And Evaluate Model Predictions 2-en_US.srt 18.4 KB
09 - Scikit-learn_ Creating Machine Learning Models/028 Evaluating A Machine Learning Model 2 (Cross Validation)-en_US.srt 18.3 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/021 Feature Importance-en_US.srt 18.3 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/019 Preproccessing Our Data-en_US.srt 18.2 KB
09 - Scikit-learn_ Creating Machine Learning Models/044 Tuning Hyperparameters 2-en_US.srt 18.1 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/036 Visualizing Model Predictions-en_US.srt 18.1 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/009 Importing TensorFlow 2-en_US.srt 18.0 KB
09 - Scikit-learn_ Creating Machine Learning Models/013 Getting Your Data Ready_ Handling Missing Values With Pandas-en_US.srt 18.0 KB
16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience__en.vtt 17.8 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/010 Filling Missing Numerical Values-en_US.srt 17.6 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/005 Step 1~4 Framework Setup-en_US.srt 17.5 KB
16 - Career Advice + Extra Bits/011 Contributing To Open Source-en_US.srt 17.4 KB
07 - NumPy/013 Exercise_ Nut Butter Store Sales-en_US.srt 17.4 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/039 Saving And Loading A Trained Model-en_US.srt 17.3 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/042 Submitting Model to Kaggle-en_US.srt 17.3 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/025 Building A Deep Learning Model-en_US.srt 17.3 KB
07 - NumPy/008 Manipulating Arrays-en_US.srt 17.1 KB
09 - Scikit-learn_ Creating Machine Learning Models/018 NEW_ Choosing The Right Model For Your Data 2 (Regression)-en_US.srt 16.9 KB
09 - Scikit-learn_ Creating Machine Learning Models/051 Putting It All Together 2-en_US.srt 16.7 KB
08 - Matplotlib_ Plotting and Data Visualization/003 Importing And Using Matplotlib-en_US.srt 16.7 KB
17 - Learn Python/017 Variables-en_US.srt 16.6 KB
18 - Learn Python Part 2/002 Conditional Logic-en_US.srt 16.4 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/015 Tuning Hyperparameters-en_US.srt 16.3 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/014 Loading Our Data Labels-en_US.srt 16.3 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/004 Project Environment Setup-en_US.srt 16.3 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/016 Tuning Hyperparameters 2-en_US.srt 16.1 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/019 Evaluating Our Model-en_US.srt 16.0 KB
09 - Scikit-learn_ Creating Machine Learning Models/033 Evaluating A Classification Model 4 (Confusion Matrix)-en_US.srt 16.0 KB
08 - Matplotlib_ Plotting and Data Visualization/016 Plotting from Pandas DataFrames 7-en_US.srt 15.9 KB
07 - NumPy/012 Dot Product vs Element Wise-en_US.srt 15.9 KB
18 - Learn Python Part 2/024 return-en_US.srt 15.9 KB
05 - Data Science Environment Setup/011 Jupyter Notebook Walkthrough-en_US.srt 15.8 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/016 Reducing Data-en_US.srt 15.4 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/022 Visualizing Our Data-en_US.srt 15.4 KB
09 - Scikit-learn_ Creating Machine Learning Models/042 Improving A Machine Learning Model-en_US.srt 15.2 KB
06 - Pandas_ Data Analysis/007 Selecting and Viewing Data with Pandas-en_US.srt 15.2 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/003 Project Environment Setup-en_US.srt 15.2 KB
09 - Scikit-learn_ Creating Machine Learning Models/036 NEW_ Evaluating A Regression Model 1 (R2 Score)-en_US.srt 15.1 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images-en_US.srt 15.0 KB
08 - Matplotlib_ Plotting and Data Visualization/005 Scatter Plot And Bar Plot-en_US.srt 14.9 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/023 Reviewing The Project-en_US.srt 14.8 KB
06 - Pandas_ Data Analysis/010 Manipulating Data 2-en_US.srt 14.8 KB
09 - Scikit-learn_ Creating Machine Learning Models/026 NEW_ Evaluating A Machine Learning Model (Score) Part 1-en_US.srt 14.6 KB
08 - Matplotlib_ Plotting and Data Visualization/004 Anatomy Of A Matplotlib Figure-en_US.srt 14.5 KB
03 - Machine Learning and Data Science Framework/004 Types of Machine Learning Problems-en_US.srt 14.5 KB
08 - Matplotlib_ Plotting and Data Visualization/017 Customizing Your Plots-en_US.srt 14.4 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/015 Custom Evaluation Function_en.vtt 14.4 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/038 Visualizing And Evaluate Model Predictions 3-en_US.srt 14.4 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/013 Splitting Data-en_US.srt 14.3 KB
06 - Pandas_ Data Analysis/006 Describing Data with Pandas-en_US.srt 14.2 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/016 Turning Data Labels Into Numbers-en_US.srt 14.2 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/012 Choosing The Right Models-en_US.srt 14.2 KB
06 - Pandas_ Data Analysis/011 Manipulating Data 3-en_US.srt 14.0 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/019 Preprocess Images 2-en_US.srt 13.9 KB
07 - NumPy/007 Viewing Arrays and Matrices-en_US.srt 13.9 KB
09 - Scikit-learn_ Creating Machine Learning Models/038 NEW_ Evaluating A Regression Model 3 (MSE)-en_US.srt 13.7 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/008 Finding Patterns-en_US.srt 13.7 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/018 Preprocess Images-en_US.srt 13.6 KB
08 - Matplotlib_ Plotting and Data Visualization/011 Plotting From Pandas DataFrames 2-en_US.srt 13.5 KB
18 - Learn Python Part 2/045 Modules in Python-en_US.srt 13.3 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/017 RandomizedSearchCV-en_US.srt 13.3 KB
03 - Machine Learning and Data Science Framework/011 Modelling - Comparison-en_US.srt 13.3 KB
08 - Matplotlib_ Plotting and Data Visualization/018 Customizing Your Plots 2-en_US.srt 13.3 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/011 Preparing Our Data For Machine Learning-en_US.srt 13.1 KB
18 - Learn Python Part 2/048 Packages in Python-en_US.srt 13.1 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/006 Getting Our Tools Ready-en_US.srt 13.0 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/026 Building A Deep Learning Model 2-en_US.srt 13.0 KB
08 - Matplotlib_ Plotting and Data Visualization/006 Histograms And Subplots-en_US.srt 13.0 KB
09 - Scikit-learn_ Creating Machine Learning Models/035 Evaluating A Classification Model 6 (Classification Report)_en.vtt 13.0 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/011 Using A GPU-en_US.srt 13.0 KB
09 - Scikit-learn_ Creating Machine Learning Models/023 Making Predictions With Our Model-en_US.srt 12.9 KB
09 - Scikit-learn_ Creating Machine Learning Models/030 Evaluating A Classification Model 2 (ROC Curve)-en_US.srt 12.8 KB
09 - Scikit-learn_ Creating Machine Learning Models/025 NEW_ Making Predictions With Our Model (Regression)-en_US.srt 12.8 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/028 Building A Deep Learning Model 4-en_US.srt 12.8 KB
13 - Data Engineering/009 Optional_ OLTP Databases-en_US.srt 12.7 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/005 Step 1~4 Framework Setup-en_US.srt 12.5 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/027 Building A Deep Learning Model 3-en_US.srt 12.5 KB
07 - NumPy/005 Creating NumPy Arrays-en_US.srt 12.5 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/020 Turning Data Into Batches-en_US.srt 12.4 KB
08 - Matplotlib_ Plotting and Data Visualization/014 Plotting from Pandas DataFrames 5-en_US.srt 12.2 KB
09 - Scikit-learn_ Creating Machine Learning Models/024 predict() vs predict_proba()-en_US.srt 12.2 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/021 Evaluating Our Model 3-en_US.srt 12.1 KB
17 - Learn Python/011 Numbers-en_US.srt 12.0 KB
05 - Data Science Environment Setup/013 Jupyter Notebook Walkthrough 3-en_US.srt 12.0 KB
07 - NumPy/009 Manipulating Arrays 2-en_US.srt 12.0 KB
17 - Learn Python/035 List Methods-en_US.srt 11.8 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/018 Improving Hyperparameters-en_US.srt 11.8 KB
08 - Matplotlib_ Plotting and Data Visualization/012 Plotting from Pandas DataFrames 3-en_US.srt 11.8 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/017 Creating Our Own Validation Set-en_US.srt 11.8 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/007 Exploring Our Data-en_US.srt 11.8 KB
08 - Matplotlib_ Plotting and Data Visualization/015 Plotting from Pandas DataFrames 6-en_US.srt 11.7 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/030 Evaluating Our Model-en_US.srt 11.4 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/011 Filling Missing Categorical Values-en_US.srt 11.4 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/020 Making Predictions-en_US.srt 11.2 KB
06 - Pandas_ Data Analysis/013 How To Download The Course Assignments-en_US.srt 11.2 KB
17 - Learn Python/027 Built-In Functions + Methods-en_US.srt 11.1 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/012 Fitting A Machine Learning Model-en_US.srt 11.1 KB
05 - Data Science Environment Setup/21892866-heart-disease.csv 11.1 KB
08 - Matplotlib_ Plotting and Data Visualization/21709560-heart-disease.csv 11.1 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/21882974-heart-disease.csv 11.1 KB
09 - Scikit-learn_ Creating Machine Learning Models/002 Scikit-learn Introduction-en_US.srt 10.9 KB
18 - Learn Python Part 2/036 Pure Functions-en_US.srt 10.9 KB
18 - Learn Python Part 2/018 Our First GUI-en_US.srt 10.9 KB
18 - Learn Python Part 2/047 Optional_ PyCharm-en_US.srt 10.7 KB
09 - Scikit-learn_ Creating Machine Learning Models/009 Getting Your Data Ready_ Splitting Your Data_en.vtt 10.6 KB
07 - NumPy/016 Turn Images Into NumPy Arrays-en_US.srt 10.6 KB
09 - Scikit-learn_ Creating Machine Learning Models/031 Evaluating A Classification Model 3 (ROC Curve)-en_US.srt 10.5 KB
09 - Scikit-learn_ Creating Machine Learning Models/006 Scikit-learn Cheatsheet-en_US.srt 10.5 KB
07 - NumPy/006 NumPy Random Seed-en_US.srt 10.4 KB
16 - Career Advice + Extra Bits/012 Contributing To Open Source 2-en_US.srt 10.4 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/002 Project Overview-en_US.srt 10.4 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/004 Setting Up Google Colab-en_US.srt 10.3 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/017 Tuning Hyperparameters 3-en_US.srt 10.3 KB
09 - Scikit-learn_ Creating Machine Learning Models/037 NEW_ Evaluating A Regression Model 2 (MAE)-en_US.srt 10.3 KB
09 - Scikit-learn_ Creating Machine Learning Models/048 Saving And Loading A Model-en_US.srt 10.2 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/033 Evaluating Performance With TensorBoard-en_US.srt 10.2 KB
09 - Scikit-learn_ Creating Machine Learning Models/022 Fitting A Model To The Data-en_US.srt 10.1 KB
09 - Scikit-learn_ Creating Machine Learning Models/027 NEW_ Evaluating A Machine Learning Model (Score) Part 2-en_US.srt 10.1 KB
17 - Learn Python/049 Sets 2-en_US.srt 10.0 KB
08 - Matplotlib_ Plotting and Data Visualization/013 Plotting from Pandas DataFrames 4-en_US.srt 10.0 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/013 Experimenting With Machine Learning Models-en_US.srt 9.9 KB
17 - Learn Python/025 String Indexes-en_US.srt 9.9 KB
18 - Learn Python Part 2/041 List Comprehensions-en_US.srt 9.9 KB
07 - NumPy/010 Standard Deviation and Variance-en_US.srt 9.8 KB
08 - Matplotlib_ Plotting and Data Visualization/009 Plotting From Pandas DataFrames-en_US.srt 9.7 KB
07 - NumPy/011 Reshape and Transpose-en_US.srt 9.7 KB
17 - Learn Python/024 Formatted Strings-en_US.srt 9.6 KB
09 - Scikit-learn_ Creating Machine Learning Models/050 Putting It All Together-en_US.srt 9.6 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/006 Uploading Project Data-en_US.srt 9.5 KB
18 - Learn Python Part 2/021 Functions-en_US.srt 9.4 KB
09 - Scikit-learn_ Creating Machine Learning Models/049 Saving And Loading A Model 2-en_US.srt 9.4 KB
18 - Learn Python Part 2/040 reduce()-en_US.srt 9.2 KB
17 - Learn Python/004 Our First Python Program-en_US.srt 9.1 KB
17 - Learn Python/029 Exercise_ Type Conversion-en_US.srt 9.0 KB
17 - Learn Python/048 Sets-en_US.srt 9.0 KB
15 - Storytelling + Communication_ How To Present Your Work/005 Weekend Project Principle-en_US.srt 9.0 KB
02 - Machine Learning 101/001 What Is Machine Learning_-en_US.srt 9.0 KB
07 - NumPy/015 Sorting Arrays-en_US.srt 8.9 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/007 Exploring Our Data 2-en_US.srt 8.9 KB
01 - Introduction/001 Course Outline-en_US.srt 8.9 KB
18 - Learn Python Part 2/009 is vs ==-en_US.srt 8.8 KB
13 - Data Engineering/007 Types Of Databases-en_US.srt 8.8 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/013 Optional_ Reloading Colab Notebook-en_US.srt 8.8 KB
17 - Learn Python/002 Python Interpreter-en_US.srt 8.8 KB
17 - Learn Python/033 List Slicing-en_US.srt 8.7 KB
18 - Learn Python Part 2/008 Exercise_ Logical Operators-en_US.srt 8.7 KB
18 - Learn Python Part 2/007 Logical Operators-en_US.srt 8.6 KB
17 - Learn Python/006 Python 2 vs Python 3-en_US.srt 8.4 KB
18 - Learn Python Part 2/029 _args and __kwargs-en_US.srt 8.4 KB
08 - Matplotlib_ Plotting and Data Visualization/002 Matplotlib Introduction-en_US.srt 8.2 KB
18 - Learn Python Part 2/032 Scope Rules-en_US.srt 8.2 KB
18 - Learn Python Part 2/019 DEVELOPER FUNDAMENTALS_ IV-en_US.srt 8.2 KB
18 - Learn Python Part 2/049 Different Ways To Import-en_US.srt 8.2 KB
18 - Learn Python Part 2/010 For Loops-en_US.srt 8.1 KB
02 - Machine Learning 101/003 Exercise_ Machine Learning Playground-en_US.srt 8.1 KB
17 - Learn Python/031 Exercise_ Password Checker-en_US.srt 8.1 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/020 Evaluating Our Model 2-en_US.srt 8.1 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/023 Preparing Our Inputs and Outputs-en_US.srt 8.0 KB
17 - Learn Python/041 Dictionaries-en_US.srt 8.0 KB
13 - Data Engineering/002 What Is Data_-en_US.srt 8.0 KB
05 - Data Science Environment Setup/007 Windows Environment Setup-en_US.srt 7.9 KB
03 - Machine Learning and Data Science Framework/008 Modelling - Splitting Data-en_US.srt 7.8 KB
18 - Learn Python Part 2/015 While Loops-en_US.srt 7.7 KB
17 - Learn Python/045 Dictionary Methods 2-en_US.srt 7.7 KB
07 - NumPy/002 NumPy Introduction-en_US.srt 7.6 KB
02 - Machine Learning 101/004 How Did We Get Here_-en_US.srt 7.3 KB
18 - Learn Python Part 2/011 Iterables-en_US.srt 7.3 KB
17 - Learn Python/001 What Is A Programming Language-en_US.srt 7.3 KB
18 - Learn Python Part 2/033 global Keyword-en_US.srt 7.2 KB
09 - Scikit-learn_ Creating Machine Learning Models/009 Getting Your Data Ready_ Splitting Your Data-en_US.srt 7.2 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/002 Project Overview-en_US.srt 7.1 KB
09 - Scikit-learn_ Creating Machine Learning Models/039 Machine Learning Model Evaluation.html 7.1 KB
06 - Pandas_ Data Analysis/003 Pandas Introduction-en_US.srt 7.0 KB
18 - Learn Python Part 2/037 map()-en_US.srt 7.0 KB
18 - Learn Python Part 2/042 Set Comprehensions-en_US.srt 6.9 KB
18 - Learn Python Part 2/016 While Loops 2-en_US.srt 6.9 KB
03 - Machine Learning and Data Science Framework/007 Features In Data-en_US.srt 6.9 KB
03 - Machine Learning and Data Science Framework/003 6 Step Machine Learning Framework-en_US.srt 6.9 KB
17 - Learn Python/003 How To Run Python Code-en_US.srt 6.8 KB
09 - Scikit-learn_ Creating Machine Learning Models/004 Refresher_ What Is Machine Learning_-en_US.srt 6.7 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/007 Setting Up Our Data-en_US.srt 6.7 KB
08 - Matplotlib_ Plotting and Data Visualization/007 Subplots Option 2-en_US.srt 6.6 KB
09 - Scikit-learn_ Creating Machine Learning Models/010 Quick Tip_ Clean, Transform, Reduce-en_US.srt 6.5 KB
17 - Learn Python/020 Strings-en_US.srt 6.5 KB
13 - Data Engineering/004 What Is A Data Engineer 2_-en_US.srt 6.5 KB
17 - Learn Python/038 Common List Patterns-en_US.srt 6.5 KB
03 - Machine Learning and Data Science Framework/005 Types of Data-en_US.srt 6.5 KB
02 - Machine Learning 101/002 AI_Machine Learning_Data Science-en_US.srt 6.5 KB
18 - Learn Python Part 2/004 Truthy vs Falsey-en_US.srt 6.4 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/012 Optional_ GPU and Google Colab-en_US.srt 6.3 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/005 Google Colab Workspace-en_US.srt 6.3 KB
18 - Learn Python Part 2/013 range()-en_US.srt 6.3 KB
02 - Machine Learning 101/008 What Is Machine Learning_ Round 2-en_US.srt 6.3 KB
18 - Learn Python Part 2/023 Default Parameters and Keyword Arguments-en_US.srt 6.3 KB
08 - Matplotlib_ Plotting and Data Visualization/019 Saving And Sharing Your Plots-en_US.srt 6.2 KB
03 - Machine Learning and Data Science Framework/009 Modelling - Picking the Model-en_US.srt 6.2 KB
05 - Data Science Environment Setup/004 Conda Environments-en_US.srt 6.2 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/029 Summarizing Our Model-en_US.srt 6.2 KB
09 - Scikit-learn_ Creating Machine Learning Models/029 Evaluating A Classification Model 1 (Accuracy)-en_US.srt 6.1 KB
03 - Machine Learning and Data Science Framework/014 Tools We Will Use-en_US.srt 6.1 KB
17 - Learn Python/046 Tuples-en_US.srt 6.0 KB
17 - Learn Python/032 Lists-en_US.srt 6.0 KB
17 - Learn Python/044 Dictionary Methods-en_US.srt 5.7 KB
17 - Learn Python/009 Python Data Types-en_US.srt 5.7 KB
18 - Learn Python Part 2/026 Methods vs Functions-en_US.srt 5.7 KB
13 - Data Engineering/005 What Is A Data Engineer 3_-en_US.srt 5.6 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/031 Preventing Overfitting-en_US.srt 5.6 KB
02 - Machine Learning 101/005 Exercise_ YouTube Recommendation Engine-en_US.srt 5.6 KB
17 - Learn Python/012 Math Functions-en_US.srt 5.6 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/004 Optional_ Windows Project Environment Setup-en_US.srt 5.6 KB
17 - Learn Python/030 DEVELOPER FUNDAMENTALS_ II-en_US.srt 5.5 KB
02 - Machine Learning 101/006 Types of Machine Learning-en_US.srt 5.5 KB
17 - Learn Python/037 List Methods 3-en_US.srt 5.5 KB
15 - Storytelling + Communication_ How To Present Your Work/004 Communicating With Co-Workers-en_US.srt 5.5 KB
18 - Learn Python Part 2/003 Indentation In Python-en_US.srt 5.5 KB
18 - Learn Python Part 2/028 Clean Code-en_US.srt 5.4 KB
17 - Learn Python/013 DEVELOPER FUNDAMENTALS_ I-en_US.srt 5.4 KB
18 - Learn Python Part 2/038 filter()-en_US.srt 5.4 KB
18 - Learn Python Part 2/017 break, continue, pass-en_US.srt 5.4 KB
01 - Introduction/004 Your First Day-en_US.srt 5.4 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/015 Custom Evaluation Function-en_US.srt 5.3 KB
18 - Learn Python Part 2/043 Exercise_ Comprehensions-en_US.srt 5.3 KB
07 - NumPy/014 Comparison Operators-en_US.srt 5.2 KB
17 - Learn Python/023 Escape Sequences-en_US.srt 5.2 KB
13 - Data Engineering/013 Kafka and Stream Processing-en_US.srt 5.2 KB
16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience_-en_US.srt 5.2 KB
17 - Learn Python/036 List Methods 2-en_US.srt 5.1 KB
13 - Data Engineering/003 What Is A Data Engineer_-en_US.srt 5.1 KB
03 - Machine Learning and Data Science Framework/010 Modelling - Tuning-en_US.srt 5.1 KB
03 - Machine Learning and Data Science Framework/013 Experimentation-en_US.srt 5.1 KB
17 - Learn Python/016 Optional_ bin() and complex-en_US.srt 5.1 KB
18 - Learn Python Part 2/022 Parameters and Arguments-en_US.srt 5.0 KB
18 - Learn Python Part 2/005 Ternary Operator-en_US.srt 5.0 KB
18 - Learn Python Part 2/030 Exercise_ Functions-en_US.srt 4.9 KB
13 - Data Engineering/011 Hadoop, HDFS and MapReduce-en_US.srt 4.9 KB
18 - Learn Python Part 2/014 enumerate()-en_US.srt 4.9 KB
18 - Learn Python Part 2/035 Why Do We Need Scope_-en_US.srt 4.9 KB
15 - Storytelling + Communication_ How To Present Your Work/002 Communicating Your Work-en_US.srt 4.8 KB
17 - Learn Python/034 Matrix-en_US.srt 4.8 KB
18 - Learn Python Part 2/006 Short Circuiting-en_US.srt 4.8 KB
03 - Machine Learning and Data Science Framework/001 Section Overview-en_US.srt 4.8 KB
04 - The 2 Paths/001 The 2 Paths-en_US.srt 4.7 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/010 Optional_ TensorFlow 2.0 Default Issue-en_US.srt 4.6 KB
15 - Storytelling + Communication_ How To Present Your Work/006 Communicating With Outside World-en_US.srt 4.6 KB
03 - Machine Learning and Data Science Framework/006 Types of Evaluation-en_US.srt 4.6 KB
18 - Learn Python Part 2/027 Docstrings-en_US.srt 4.5 KB
15 - Storytelling + Communication_ How To Present Your Work/003 Communicating With Managers-en_US.srt 4.5 KB
05 - Data Science Environment Setup/002 Introducing Our Tools-en_US.srt 4.5 KB
18 - Learn Python Part 2/020 Exercise_ Find Duplicates-en_US.srt 4.4 KB
13 - Data Engineering/001 Data Engineering Introduction-en_US.srt 4.3 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/external-assets-links.txt 4.2 KB
18 - Learn Python Part 2/034 nonlocal Keyword-en_US.srt 4.1 KB
15 - Storytelling + Communication_ How To Present Your Work/007 Storytelling-en_US.srt 4.1 KB
17 - Learn Python/028 Booleans-en_US.srt 4.1 KB
17 - Learn Python/043 Dictionary Keys-en_US.srt 4.0 KB
18 - Learn Python Part 2/031 Scope-en_US.srt 4.0 KB
13 - Data Engineering/006 What Is A Data Engineer 4_-en_US.srt 4.0 KB
09 - Scikit-learn_ Creating Machine Learning Models/001 Section Overview-en_US.srt 4.0 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/044 Finishing Dog Vision_ Where to next_.html 3.9 KB
18 - Learn Python Part 2/012 Exercise_ Tricky Counter-en_US.srt 3.8 KB
20 - Where To Go From Here_/002 Thank You-en_US.srt 3.7 KB
03 - Machine Learning and Data Science Framework/002 Introducing Our Framework-en_US.srt 3.7 KB
06 - Pandas_ Data Analysis/001 Section Overview-en_US.srt 3.7 KB
17 - Learn Python/026 Immutability-en_US.srt 3.6 KB
17 - Learn Python/047 Tuples 2-en_US.srt 3.6 KB
17 - Learn Python/042 DEVELOPER FUNDAMENTALS_ III-en_US.srt 3.5 KB
05 - Data Science Environment Setup/003 What is Conda_-en_US.srt 3.5 KB
17 - Learn Python/022 Type Conversion-en_US.srt 3.5 KB
18 - Learn Python Part 2/039 zip()-en_US.srt 3.4 KB
17 - Learn Python/014 Operator Precedence-en_US.srt 3.4 KB
15 - Storytelling + Communication_ How To Present Your Work/001 Section Overview-en_US.srt 3.4 KB
17 - Learn Python/019 Augmented Assignment Operator-en_US.srt 3.2 KB
07 - NumPy/001 Section Overview-en_US.srt 3.2 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/001 Section Overview-en_US.srt 3.2 KB
17 - Learn Python/039 List Unpacking-en_US.srt 3.1 KB
15 - Storytelling + Communication_ How To Present Your Work/008 Communicating and sharing your work_ Further reading.html 3.1 KB
01 - Introduction/003 Exercise_ Meet The Community.html 3.0 KB
09 - Scikit-learn_ Creating Machine Learning Models/047 Quick Tip_ Correlation Analysis-en_US.srt 3.0 KB
18 - Learn Python Part 2/001 Breaking The Flow-en_US.srt 3.0 KB
17 - Learn Python/007 Exercise_ How Does Python Work_-en_US.srt 3.0 KB
16 - Career Advice + Extra Bits/007 JTS_ Start With Why-en_US.srt 2.9 KB
09 - Scikit-learn_ Creating Machine Learning Models/014 Extension_ Feature Scaling.html 2.9 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/001 Section Overview-en_US.srt 2.8 KB
17 - Learn Python/008 Learning Python-en_US.srt 2.7 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/024 Optional_ How machines learn and what's going on behind the scenes_.html 2.7 KB
17 - Learn Python/005 Latest Version Of Python-en_US.srt 2.7 KB
01 - Introduction/002 Join Our Online Classroom_.html 2.7 KB
08 - Matplotlib_ Plotting and Data Visualization/001 Section Overview-en_US.srt 2.6 KB
16 - Career Advice + Extra Bits/006 JTS_ Learn to Learn-en_US.srt 2.4 KB
09 - Scikit-learn_ Creating Machine Learning Models/007 Typical scikit-learn Workflow-en_US.srt 2.4 KB
05 - Data Science Environment Setup/010 Sharing your Conda Environment.html 2.4 KB
13 - Data Engineering/012 Apache Spark and Apache Flink-en_US.srt 2.4 KB
08 - Matplotlib_ Plotting and Data Visualization/008 Quick Tip_ Data Visualizations-en_US.srt 2.3 KB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/008 Setting Up Our Data 2-en_US.srt 2.3 KB
17 - Learn Python/040 None-en_US.srt 2.3 KB
02 - Machine Learning 101/009 Section Review-en_US.srt 2.2 KB
09 - Scikit-learn_ Creating Machine Learning Models/046 Note_ Metric Comparison Improvement.html 2.2 KB
07 - NumPy/017 Assignment_ NumPy Practice.html 2.2 KB
09 - Scikit-learn_ Creating Machine Learning Models/015 Note_ Correction in the upcoming video (splitting data).html 2.2 KB
09 - Scikit-learn_ Creating Machine Learning Models/052 Scikit-Learn Practice.html 2.1 KB
04 - The 2 Paths/003 Endorsements On LinkedIN.html 2.1 KB
16 - Career Advice + Extra Bits/001 Endorsements On LinkedIn.html 2.1 KB
08 - Matplotlib_ Plotting and Data Visualization/020 Assignment_ Matplotlib Practice.html 2.1 KB
06 - Pandas_ Data Analysis/012 Assignment_ Pandas Practice.html 2.1 KB
05 - Data Science Environment Setup/001 Section Overview-en_US.srt 2.0 KB
03 - Machine Learning and Data Science Framework/012 Overfitting and Underfitting Definitions.html 1.9 KB
17 - Learn Python/018 Expressions vs Statements-en_US.srt 1.9 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/001 Section Overview-en_US.srt 1.9 KB
09 - Scikit-learn_ Creating Machine Learning Models/020 Quick Tip_ How ML Algorithms Work-en_US.srt 1.9 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/014 Challenge_ What's wrong with splitting data after filling it_.html 1.7 KB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/003 Downloading the data for the next two projects.html 1.6 KB
02 - Machine Learning 101/010 Monthly Coding Challenges, Free Resources and Guides.html 1.6 KB
09 - Scikit-learn_ Creating Machine Learning Models/012 Note_ Update to next video (OneHotEncoder can handle NaN_None values).html 1.6 KB
09 - Scikit-learn_ Creating Machine Learning Models/external-assets-links.txt 1.5 KB
16 - Career Advice + Extra Bits/014 Exercise_ Contribute To Open Source.html 1.5 KB
09 - Scikit-learn_ Creating Machine Learning Models/032 Reading Extension_ ROC Curve + AUC.html 1.5 KB
17 - Learn Python/021 String Concatenation-en_US.srt 1.4 KB
07 - NumPy/003 Quick Note_ Correction In Next Video.html 1.3 KB
21 - BONUS SECTION/001 Bonus Lecture.html 1.2 KB
17 - Learn Python/external-assets-links.txt 1.2 KB
06 - Pandas_ Data Analysis/005 Data from URLs.html 1.1 KB
18 - Learn Python Part 2/044 Python Exam_ Testing Your Understanding.html 1.1 KB
11 - Milestone Project 1_ Supervised Learning (Classification)/018 Quick Note_ Confusion Matrix Labels.html 1.1 KB
05 - Data Science Environment Setup/009 Linux Environment Setup.html 1.0 KB
07 - NumPy/018 Optional_ Extra NumPy resources.html 1.0 KB
06 - Pandas_ Data Analysis/external-assets-links.txt 1.0 KB
09 - Scikit-learn_ Creating Machine Learning Models/005 Quick Note_ Upcoming Videos.html 1018 bytes
03 - Machine Learning and Data Science Framework/015 Optional_ Elements of AI.html 975 bytes
06 - Pandas_ Data Analysis/002 Downloading Workbooks and Assignments.html 967 bytes
18 - Learn Python Part 2/050 Next Steps.html 959 bytes
16 - Career Advice + Extra Bits/013 Coding Challenges.html 948 bytes
20 - Where To Go From Here_/001 Become An Alumni.html 944 bytes
04 - The 2 Paths/002 Python + Machine Learning Monthly.html 917 bytes
05 - Data Science Environment Setup/external-assets-links.txt 857 bytes
07 - NumPy/external-assets-links.txt 818 bytes
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/external-assets-links.txt 815 bytes
10 - Supervised Learning_ Classification + Regression/001 Milestone Projects_.html 738 bytes
20 - Where To Go From Here_/003 Thank You Part 2.html 730 bytes
19 - Extra_ Learn Advanced Statistics and Mathematics for FREE_/001 Statistics and Mathematics.html 710 bytes
17 - Learn Python/015 Exercise_ Operator Precedence.html 683 bytes
08 - Matplotlib_ Plotting and Data Visualization/010 Quick Note_ Regular Expressions.html 632 bytes
16 - Career Advice + Extra Bits/002 Quick Note_ Upcoming Video.html 587 bytes
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/003 Setting Up With Google.html 568 bytes
11 - Milestone Project 1_ Supervised Learning (Classification)/external-assets-links.txt 565 bytes
16 - Career Advice + Extra Bits/005 Quick Note_ Upcoming Videos.html 565 bytes
09 - Scikit-learn_ Creating Machine Learning Models/035 Evaluating A Classification Model 6 (Classification Report)-en_US.srt 551 bytes
18 - Learn Python Part 2/051 Bonus Resource_ Python Cheatsheet.html 489 bytes
13 - Data Engineering/008 Quick Note_ Upcoming Video.html 481 bytes
08 - Matplotlib_ Plotting and Data Visualization/external-assets-links.txt 473 bytes
18 - Learn Python Part 2/046 Quick Note_ Upcoming Videos.html 448 bytes
13 - Data Engineering/010 Optional_ Learn SQL.html 410 bytes
18 - Learn Python Part 2/025 Exercise_ Tesla.html 402 bytes
09 - Scikit-learn_ Creating Machine Learning Models/003 Quick Note_ Upcoming Video.html 390 bytes
15 - Storytelling + Communication_ How To Present Your Work/external-assets-links.txt 381 bytes
06 - Pandas_ Data Analysis/21708170-car-sales.csv 369 bytes
16 - Career Advice + Extra Bits/008 Quick Note_ Upcoming Videos.html 352 bytes
16 - Career Advice + Extra Bits/004 Learning Guideline.html 336 bytes
06 - Pandas_ Data Analysis/22379919-car-sales-missing-data.csv 287 bytes
17 - Learn Python/010 How To Succeed.html 280 bytes
18 - Learn Python Part 2/external-assets-links.txt 252 bytes
09 - Scikit-learn_ Creating Machine Learning Models/019 Quick Note_ Decision Trees.html 221 bytes
13 - Data Engineering/external-assets-links.txt 217 bytes
02 - Machine Learning 101/007 Are You Getting It Yet_.html 160 bytes
03 - Machine Learning and Data Science Framework/external-assets-links.txt 154 bytes
02 - Machine Learning 101/external-assets-links.txt 123 bytes

[Udemy] Complete Machine Learning & Data Science Bootcamp 2022 (11.2021)

File List

Download Torrent

Related Resources

Copyright Infringement