[Udemy] Complete Machine Learning & Data Science Bootcamp 2021 (2021) [En]

Creation Time	Aug. 28, 2024, 7:35 a.m.
Last Access Time	Dec. 16, 2024, 2:28 p.m.
File Size	19.3 GB
Keywords	En Complete Science Udemy Machine 2021 Learning Bootcamp Data
Total Requests	13
Total Files	838
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5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 227.6 MB
9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 190.2 MB
9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 176.1 MB
16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 176.1 MB
9. Scikit-learn Creating Machine Learning Models/41. Tuning Hyperparameters.mp4 175.7 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 166.6 MB
16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 161.0 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Feature Engineering.mp4 159.1 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 155.0 MB
9. Scikit-learn Creating Machine Learning Models/48. Putting It All Together.mp4 150.6 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 149.4 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Turning Data Into Numbers.mp4 146.2 MB
5. Data Science Environment Setup/5. Mac Environment Setup.mp4 144.4 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 143.8 MB
9. Scikit-learn Creating Machine Learning Models/16. Choosing The Right Model For Your Data.mp4 143.3 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/21. Feature Importance.mp4 142.3 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 140.8 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 139.8 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Preproccessing Our Data.mp4 139.3 MB
11. Milestone Project 1 Supervised Learning (Classification)/10. Finding Patterns 3.mp4 137.9 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/6. Exploring Our Data.mp4 137.8 MB
9. Scikit-learn Creating Machine Learning Models/15. Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 136.9 MB
9. Scikit-learn Creating Machine Learning Models/11. Getting Your Data Ready Convert Data To Numbers.mp4 135.0 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/15. Preparing The Images.mp4 133.9 MB
16. Career Advice + Extra Bits/11. Contributing To Open Source.mp4 130.3 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/35. Transform Predictions To Text.mp4 129.9 MB
11. Milestone Project 1 Supervised Learning (Classification)/22. Finding The Most Important Features.mp4 127.5 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/39. Saving And Loading A Trained Model.mp4 127.0 MB
5. Data Science Environment Setup/6. Mac Environment Setup 2.mp4 125.5 MB
8. Matplotlib Plotting and Data Visualization/18. Customizing Your Plots 2.mp4 123.6 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/22. Visualizing Our Data.mp4 122.0 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25. Building A Deep Learning Model.mp4 121.9 MB
9. Scikit-learn Creating Machine Learning Models/43. Tuning Hyperparameters 3.mp4 121.8 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/42. Submitting Model to Kaggle.mp4 121.3 MB
8. Matplotlib Plotting and Data Visualization/16. Plotting from Pandas DataFrames 7.mp4 119.8 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/36. Visualizing Model Predictions.mp4 119.3 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/43. Making Predictions On Our Images.mp4 119.2 MB
9. Scikit-learn Creating Machine Learning Models/20. Choosing The Right Model For Your Data 3 (Classification).mp4 118.8 MB
16. Career Advice + Extra Bits/10. CWD Git + Github 2.srt 118.4 MB
16. Career Advice + Extra Bits/10. CWD Git + Github 2.mp4 118.4 MB
9. Scikit-learn Creating Machine Learning Models/49. Putting It All Together 2.mp4 116.9 MB
9. Scikit-learn Creating Machine Learning Models/42. Tuning Hyperparameters 2.mp4 116.8 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/9. Importing TensorFlow 2.mp4 116.8 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/14. Loading Our Data Labels.mp4 114.8 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/38. Visualizing And Evaluate Model Predictions 3.mp4 113.2 MB
16. Career Advice + Extra Bits/12. Contributing To Open Source 2.mp4 113.0 MB
11. Milestone Project 1 Supervised Learning (Classification)/15. Tuning Hyperparameters.mp4 108.0 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/16. Turning Data Labels Into Numbers.mp4 107.5 MB
6. Pandas Data Analysis/8. Selecting and Viewing Data with Pandas Part 2.mp4 106.5 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/10. Filling Missing Numerical Values.mp4 106.3 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/27. Building A Deep Learning Model 3.mp4 105.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/26. Building A Deep Learning Model 2.mp4 105.9 MB
11. Milestone Project 1 Supervised Learning (Classification)/5. Step 1~4 Framework Setup.mp4 105.5 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/19. Preprocess Images 2.mp4 105.1 MB
6. Pandas Data Analysis/9. Manipulating Data.mp4 105.0 MB
9. Scikit-learn Creating Machine Learning Models/12. Getting Your Data Ready Handling Missing Values With Pandas.mp4 104.9 MB
17. Learn Python/1. What Is A Programming Language.mp4 104.8 MB
11. Milestone Project 1 Supervised Learning (Classification)/16. Tuning Hyperparameters 2.mp4 104.1 MB
5. Data Science Environment Setup/12. Jupyter Notebook Walkthrough 2.mp4 103.9 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/15. Custom Evaluation Function.mp4 103.3 MB
11. Milestone Project 1 Supervised Learning (Classification)/14. TuningImproving Our Model.mp4 102.8 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/2. Deep Learning and Unstructured Data.mp4 102.0 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/3. Project Environment Setup.mp4 101.3 MB
11. Milestone Project 1 Supervised Learning (Classification)/3. Project Environment Setup.mp4 100.8 MB
11. Milestone Project 1 Supervised Learning (Classification)/9. Finding Patterns 2.mp4 99.9 MB
8. Matplotlib Plotting and Data Visualization/11. Plotting From Pandas DataFrames 2.mp4 98.8 MB
11. Milestone Project 1 Supervised Learning (Classification)/12. Choosing The Right Models.mp4 96.4 MB
9. Scikit-learn Creating Machine Learning Models/26. Evaluating A Machine Learning Model 2 (Cross Validation).mp4 96.0 MB
6. Pandas Data Analysis/4. Series, Data Frames and CSVs.mp4 95.4 MB
9. Scikit-learn Creating Machine Learning Models/39. Evaluating A Model With Scikit-learn Functions.mp4 94.8 MB
17. Learn Python/17. Variables.mp4 93.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/16. Reducing Data.mp4 93.5 MB
8. Matplotlib Plotting and Data Visualization/17. Customizing Your Plots.mp4 92.2 MB
9. Scikit-learn Creating Machine Learning Models/38. Evaluating A Model With Cross Validation and Scoring Parameter.mp4 91.5 MB
7. NumPy/13. Exercise Nut Butter Store Sales.mp4 91.3 MB
6. Pandas Data Analysis/11. Manipulating Data 3.mp4 91.0 MB
9. Scikit-learn Creating Machine Learning Models/40. Improving A Machine Learning Model.mp4 90.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/18. Preprocess Images.mp4 90.1 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/13. Optional Reloading Colab Notebook.mp4 88.7 MB
9. Scikit-learn Creating Machine Learning Models/4. Refresher What Is Machine Learning.mp4 88.3 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/20. Turning Data Into Batches.mp4 87.8 MB
9. Scikit-learn Creating Machine Learning Models/33. Evaluating A Classification Model 6 (Classification Report).mp4 87.2 MB
9. Scikit-learn Creating Machine Learning Models/25. Evaluating A Machine Learning Model (Score).mp4 87.1 MB
9. Scikit-learn Creating Machine Learning Models/17. Choosing The Right Model For Your Data 2 (Regression).mp4 86.9 MB
6. Pandas Data Analysis/10. Manipulating Data 2.mp4 86.5 MB
8. Matplotlib Plotting and Data Visualization/3. Importing And Using Matplotlib.mp4 86.4 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/28. Building A Deep Learning Model 4.mp4 86.3 MB
11. Milestone Project 1 Supervised Learning (Classification)/23. Reviewing The Project.mp4 86.1 MB
7. NumPy/16. Turn Images Into NumPy Arrays.mp4 85.9 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/17. RandomizedSearchCV.mp4 85.8 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/4. Step 1~4 Framework Setup.mp4 85.7 MB
7. NumPy/12. Dot Product vs Element Wise.mp4 83.9 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/13. Splitting Data.mp4 82.7 MB
18. Learn Python Part 2/45. Modules in Python.mp4 82.2 MB
8. Matplotlib Plotting and Data Visualization/4. Anatomy Of A Matplotlib Figure.mp4 82.2 MB
8. Matplotlib Plotting and Data Visualization/15. Plotting from Pandas DataFrames 6.mp4 82.0 MB
7. NumPy/8. Manipulating Arrays.mp4 80.7 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/11. Using A GPU.mp4 80.6 MB
13. Data Engineering/9. Optional OLTP Databases.mp4 79.7 MB
11. Milestone Project 1 Supervised Learning (Classification)/6. Getting Our Tools Ready.mp4 79.4 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/30. Evaluating Our Model.mp4 79.3 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/18. Improving Hyperparameters.mp4 79.3 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/20. Making Predictions.mp4 79.2 MB
7. NumPy/4. NumPy DataTypes and Attributes.mp4 79.0 MB
17. Learn Python/2. Python Interpreter.mp4 78.0 MB
9. Scikit-learn Creating Machine Learning Models/31. Evaluating A Classification Model 4 (Confusion Matrix).mp4 77.7 MB
1. Introduction/1. Course Outline.mp4 77.3 MB
6. Pandas Data Analysis/6. Describing Data with Pandas.mp4 75.6 MB
9. Scikit-learn Creating Machine Learning Models/6. Scikit-learn Cheatsheet.mp4 75.1 MB
8. Matplotlib Plotting and Data Visualization/12. Plotting from Pandas DataFrames 3.mp4 74.7 MB
18. Learn Python Part 2/2. Conditional Logic.mp4 74.6 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4. Setting Up Google Colab.mp4 74.2 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/33. Evaluating Performance With TensorBoard.mp4 74.2 MB
17. Learn Python/11. Numbers.mp4 72.7 MB
11. Milestone Project 1 Supervised Learning (Classification)/11. Preparing Our Data For Machine Learning.mp4 72.6 MB
18. Learn Python Part 2/48. Packages in Python.mp4 72.4 MB
6. Pandas Data Analysis/7. Selecting and Viewing Data with Pandas.mp4 72.3 MB
11. Milestone Project 1 Supervised Learning (Classification)/19. Evaluating Our Model.mp4 71.6 MB
5. Data Science Environment Setup/13. Jupyter Notebook Walkthrough 3.mp4 71.4 MB
7. NumPy/7. Viewing Arrays and Matrices.mp4 70.6 MB
9. Scikit-learn Creating Machine Learning Models/34. Evaluating A Regression Model 1 (R2 Score).mp4 70.4 MB
8. Matplotlib Plotting and Data Visualization/6. Histograms And Subplots.mp4 69.7 MB
17. Learn Python/6. Python 2 vs Python 3.mp4 69.5 MB
17. Learn Python/27. Built-In Functions + Methods.mp4 69.4 MB
7. NumPy/9. Manipulating Arrays 2.mp4 67.9 MB
18. Learn Python Part 2/36. Pure Functions.mp4 67.4 MB
5. Data Science Environment Setup/11. Jupyter Notebook Walkthrough.mp4 67.3 MB
8. Matplotlib Plotting and Data Visualization/5. Scatter Plot And Bar Plot.mp4 67.0 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/11. Filling Missing Categorical Values.mp4 66.9 MB
11. Milestone Project 1 Supervised Learning (Classification)/7. Exploring Our Data.mp4 66.9 MB
6. Pandas Data Analysis/13. How To Download The Course Assignments.mp4 66.8 MB
7. NumPy/5. Creating NumPy Arrays.mp4 66.8 MB
9. Scikit-learn Creating Machine Learning Models/22. Making Predictions With Our Model.mp4 66.5 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/17. Creating Our Own Validation Set.mp4 66.4 MB
9. Scikit-learn Creating Machine Learning Models/28. Evaluating A Classification Model 2 (ROC Curve).mp4 66.0 MB
11. Milestone Project 1 Supervised Learning (Classification)/21. Evaluating Our Model 3.mp4 64.8 MB
17. Learn Python/49. Sets 2.mp4 64.3 MB
9. Scikit-learn Creating Machine Learning Models/32. Evaluating A Classification Model 5 (Confusion Matrix).mp4 63.8 MB
9. Scikit-learn Creating Machine Learning Models/9. Getting Your Data Ready Splitting Your Data.mp4 63.7 MB
11. Milestone Project 1 Supervised Learning (Classification)/8. Finding Patterns.mp4 63.3 MB
18. Learn Python Part 2/24. return.mp4 63.0 MB
11. Milestone Project 1 Supervised Learning (Classification)/17. Tuning Hyperparameters 3.mp4 63.0 MB
17. Learn Python/35. List Methods.mp4 61.8 MB
3. Machine Learning and Data Science Framework/4. Types of Machine Learning Problems.mp4 60.5 MB
8. Matplotlib Plotting and Data Visualization/9. Plotting From Pandas DataFrames.mp4 60.3 MB
17. Learn Python/13. DEVELOPER FUNDAMENTALS I.mp4 59.7 MB
8. Matplotlib Plotting and Data Visualization/14. Plotting from Pandas DataFrames 5.mp4 57.0 MB
9. Scikit-learn Creating Machine Learning Models/47. Saving And Loading A Model 2.mp4 56.8 MB
9. Scikit-learn Creating Machine Learning Models/21. Fitting A Model To The Data.mp4 56.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/12. Fitting A Machine Learning Model.mp4 55.5 MB
11. Milestone Project 1 Supervised Learning (Classification)/13. Experimenting With Machine Learning Models.mp4 55.4 MB
9. Scikit-learn Creating Machine Learning Models/36. Evaluating A Regression Model 3 (MSE).mp4 54.9 MB
9. Scikit-learn Creating Machine Learning Models/23. predict() vs predict_proba().mp4 54.3 MB
7. NumPy/11. Reshape and Transpose.mp4 53.5 MB
18. Learn Python Part 2/41. List Comprehensions.mp4 53.3 MB
18. Learn Python Part 2/47. Optional PyCharm.mp4 53.1 MB
17. Learn Python/3. How To Run Python Code.mp4 52.9 MB
9. Scikit-learn Creating Machine Learning Models/46. Saving And Loading A Model.mp4 52.6 MB
18. Learn Python Part 2/40. reduce().mp4 52.3 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Exploring Our Data 2.mp4 52.0 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/6. Uploading Project Data.mp4 52.0 MB
7. NumPy/6. NumPy Random Seed.mp4 51.9 MB
7. NumPy/10. Standard Deviation and Variance.mp4 51.2 MB
17. Learn Python/31. Exercise Password Checker.mp4 51.1 MB
9. Scikit-learn Creating Machine Learning Models/29. Evaluating A Classification Model 3 (ROC Curve).mp4 50.6 MB
17. Learn Python/29. Exercise Type Conversion.mp4 50.3 MB
18. Learn Python Part 2/19. DEVELOPER FUNDAMENTALS IV.mp4 50.2 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/23. Preparing Our Inputs and Outputs.mp4 50.1 MB
17. Learn Python/33. List Slicing.mp4 49.9 MB
18. Learn Python Part 2/18. Our First GUI.mp4 49.6 MB
8. Matplotlib Plotting and Data Visualization/19. Saving And Sharing Your Plots.mp4 49.5 MB
17. Learn Python/24. Formatted Strings.mp4 49.3 MB
17. Learn Python/25. String Indexes.mp4 49.2 MB
8. Matplotlib Plotting and Data Visualization/13. Plotting from Pandas DataFrames 4.mp4 49.0 MB
18. Learn Python Part 2/21. Functions.mp4 48.6 MB
18. Learn Python Part 2/49. Different Ways To Import.mp4 48.0 MB
5. Data Science Environment Setup/7. Windows Environment Setup.mp4 47.9 MB
17. Learn Python/4. Our First Python Program.mp4 47.2 MB
18. Learn Python Part 2/8. Exercise Logical Operators.mp4 46.6 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/12. Optional GPU and Google Colab.mp4 45.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/29. Summarizing Our Model.mp4 45.4 MB
9. Scikit-learn Creating Machine Learning Models/24. Making Predictions With Our Model (Regression).mp4 44.9 MB
3. Machine Learning and Data Science Framework/11. Modelling - Comparison.mp4 44.9 MB
18. Learn Python Part 2/11. Iterables.mp4 43.2 MB
18. Learn Python Part 2/29. args and kwargs.mp4 43.0 MB
18. Learn Python Part 2/4. Truthy vs Falsey.mp4 42.8 MB
2. Machine Learning 101/3. Exercise Machine Learning Playground.mp4 42.6 MB
17. Learn Python/45. Dictionary Methods 2.mp4 42.4 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/7. Setting Up Our Data.mp4 42.3 MB
13. Data Engineering/2. What Is Data.mp4 42.2 MB
17. Learn Python/12. Math Functions.mp4 41.8 MB
11. Milestone Project 1 Supervised Learning (Classification)/20. Evaluating Our Model 2.mp4 41.5 MB
9. Scikit-learn Creating Machine Learning Models/2. Scikit-learn Introduction.mp4 40.6 MB
17. Learn Python/38. Common List Patterns.mp4 40.5 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/5. Google Colab Workspace.mp4 39.6 MB
17. Learn Python/8. Learning Python.mp4 38.5 MB
18. Learn Python Part 2/37. map().mp4 38.4 MB
18. Learn Python Part 2/23. Default Parameters and Keyword Arguments.mp4 38.1 MB
8. Matplotlib Plotting and Data Visualization/7. Subplots Option 2.mp4 38.1 MB
18. Learn Python Part 2/32. Scope Rules.mp4 37.7 MB
17. Learn Python/48. Sets.mp4 37.0 MB
3. Machine Learning and Data Science Framework/7. Features In Data.mp4 36.8 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/31. Preventing Overfitting.mp4 36.5 MB
18. Learn Python Part 2/33. global Keyword.mp4 36.5 MB
11. Milestone Project 1 Supervised Learning (Classification)/4. Optional Windows Project Environment Setup.mp4 35.8 MB
18. Learn Python Part 2/42. Set Comprehensions.mp4 35.4 MB
11. Milestone Project 1 Supervised Learning (Classification)/2. Project Overview.mp4 34.4 MB
18. Learn Python Part 2/10. For Loops.mp4 34.3 MB
18. Learn Python Part 2/9. is vs ==.mp4 33.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/2. Project Overview.mp4 32.9 MB
7. NumPy/15. Sorting Arrays.mp4 32.8 MB
17. Learn Python/41. Dictionaries.mp4 32.7 MB
13. Data Engineering/7. Types Of Databases.mp4 32.6 MB
8. Matplotlib Plotting and Data Visualization/2. Matplotlib Introduction.mp4 31.5 MB
9. Scikit-learn Creating Machine Learning Models/27. Evaluating A Classification Model 1 (Accuracy).mp4 31.4 MB
17. Learn Python/20. Strings.mp4 31.0 MB
18. Learn Python Part 2/26. Methods vs Functions.mp4 30.7 MB
5. Data Science Environment Setup/4. Conda Environments.mp4 30.6 MB
2. Machine Learning 101/4. How Did We Get Here.mp4 30.5 MB
3. Machine Learning and Data Science Framework/5. Types of Data.mp4 29.3 MB
17. Learn Python/30. DEVELOPER FUNDAMENTALS II.mp4 29.2 MB
17. Learn Python/9. Python Data Types.mp4 28.9 MB
9. Scikit-learn Creating Machine Learning Models/35. Evaluating A Regression Model 2 (MAE).mp4 28.5 MB
2. Machine Learning 101/1. What Is Machine Learning.mp4 28.3 MB
18. Learn Python Part 2/13. range().mp4 28.3 MB
18. Learn Python Part 2/7. Logical Operators.mp4 28.3 MB
18. Learn Python Part 2/15. While Loops.mp4 28.3 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/10. Optional TensorFlow 2.0 Default Issue.mp4 28.1 MB
18. Learn Python Part 2/3. Indentation In Python.mp4 28.0 MB
1. Introduction/4. Your First Day.mp4 27.9 MB
17. Learn Python/37. List Methods 3.mp4 27.7 MB
3. Machine Learning and Data Science Framework/8. Modelling - Splitting Data.mp4 27.5 MB
6. Pandas Data Analysis/3. Pandas Introduction.mp4 27.5 MB
17. Learn Python/36. List Methods 2.mp4 27.4 MB
3. Machine Learning and Data Science Framework/14. Tools We Will Use.mp4 27.3 MB
17. Learn Python/44. Dictionary Methods.mp4 27.2 MB
7. NumPy/2. NumPy Introduction.mp4 26.8 MB
17. Learn Python/42. DEVELOPER FUNDAMENTALS III.mp4 26.6 MB
7. NumPy/14. Comparison Operators.mp4 26.4 MB
17. Learn Python/7. Exercise How Does Python Work.mp4 26.0 MB
18. Learn Python Part 2/16. While Loops 2.mp4 25.9 MB
17. Learn Python/46. Tuples.mp4 25.6 MB
2. Machine Learning 101/8. What Is Machine Learning Round 2.mp4 25.5 MB
18. Learn Python Part 2/14. enumerate().mp4 24.8 MB
13. Data Engineering/5. What Is A Data Engineer 3.mp4 24.3 MB
13. Data Engineering/4. What Is A Data Engineer 2.mp4 24.2 MB
15. Storytelling + Communication How To Present Your Work/5. Weekend Project Principle.mp4 23.6 MB
18. Learn Python Part 2/38. filter().mp4 23.6 MB
3. Machine Learning and Data Science Framework/3. 6 Step Machine Learning Framework.mp4 23.5 MB
3. Machine Learning and Data Science Framework/9. Modelling - Picking the Model.mp4 23.3 MB
17. Learn Python/23. Escape Sequences.mp4 23.2 MB
18. Learn Python Part 2/22. Parameters and Arguments.mp4 23.1 MB
2. Machine Learning 101/6. Types of Machine Learning.mp4 22.7 MB
18. Learn Python Part 2/17. break, continue, pass.mp4 22.2 MB
18. Learn Python Part 2/43. Exercise Comprehensions.mp4 22.0 MB
17. Learn Python/32. Lists.mp4 22.0 MB
17. Learn Python/16. Optional bin() and complex.mp4 21.9 MB
18. Learn Python Part 2/30. Exercise Functions.mp4 21.8 MB
3. Machine Learning and Data Science Framework/13. Experimentation.mp4 21.3 MB
18. Learn Python Part 2/39. zip().mp4 21.3 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/8. Setting Up Our Data 2.mp4 20.9 MB
17. Learn Python/26. Immutability.mp4 20.8 MB
17. Learn Python/43. Dictionary Keys.mp4 20.4 MB
18. Learn Python Part 2/1. Breaking The Flow.mp4 20.3 MB
18. Learn Python Part 2/20. Exercise Find Duplicates.mp4 20.3 MB
15. Storytelling + Communication How To Present Your Work/2. Communicating Your Work.mp4 20.2 MB
18. Learn Python Part 2/31. Scope.mp4 20.1 MB
18. Learn Python Part 2/5. Ternary Operator.mp4 19.7 MB
2. Machine Learning 101/2. AIMachine LearningData Science.mp4 19.7 MB
18. Learn Python Part 2/28. Clean Code.mp4 19.7 MB
2. Machine Learning 101/5. Exercise YouTube Recommendation Engine.mp4 19.4 MB
18. Learn Python Part 2/6. Short Circuiting.mp4 19.4 MB
5. Data Science Environment Setup/2. Introducing Our Tools.mp4 19.3 MB
13. Data Engineering/13. Kafka and Stream Processing.mp4 19.2 MB
18. Learn Python Part 2/35. Why Do We Need Scope.mp4 19.2 MB
17. Learn Python/34. Matrix.mp4 19.1 MB
17. Learn Python/22. Type Conversion.mp4 19.0 MB
15. Storytelling + Communication How To Present Your Work/4. Communicating With Co-Workers.mp4 19.0 MB
15. Storytelling + Communication How To Present Your Work/3. Communicating With Managers.mp4 18.4 MB
18. Learn Python Part 2/34. nonlocal Keyword.mp4 18.3 MB
3. Machine Learning and Data Science Framework/6. Types of Evaluation.mp4 17.8 MB
18. Learn Python Part 2/27. Docstrings.mp4 17.3 MB
17. Learn Python/47. Tuples 2.mp4 17.0 MB
9. Scikit-learn Creating Machine Learning Models/45. Quick Tip Correlation Analysis.mp4 16.9 MB
17. Learn Python/28. Booleans.mp4 16.5 MB
9. Scikit-learn Creating Machine Learning Models/10. Quick Tip Clean, Transform, Reduce.mp4 16.5 MB
18. Learn Python Part 2/12. Exercise Tricky Counter.mp4 16.4 MB
3. Machine Learning and Data Science Framework/10. Modelling - Tuning.mp4 16.0 MB
16. Career Advice + Extra Bits/7. JTS Start With Why.mp4 15.4 MB
17. Learn Python/19. Augmented Assignment Operator.mp4 15.3 MB
13. Data Engineering/3. What Is A Data Engineer.mp4 15.2 MB
13. Data Engineering/6. What Is A Data Engineer 4.mp4 14.9 MB
15. Storytelling + Communication How To Present Your Work/6. Communicating With Outside World.mp4 14.5 MB
17. Learn Python/14. Operator Precedence.mp4 14.4 MB
17. Learn Python/39. List Unpacking.mp4 13.9 MB
13. Data Engineering/1. Data Engineering Introduction.mp4 13.5 MB
3. Machine Learning and Data Science Framework/1. Section Overview.mp4 13.3 MB
7. NumPy/1. Section Overview.mp4 13.3 MB
5. Data Science Environment Setup/3. What is Conda.mp4 12.5 MB
9. Scikit-learn Creating Machine Learning Models/1. Section Overview.mp4 12.5 MB
8. Matplotlib Plotting and Data Visualization/8. Quick Tip Data Visualizations.mp4 12.3 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/1. Section Overview.mp4 12.2 MB
15. Storytelling + Communication How To Present Your Work/7. Storytelling.mp4 12.0 MB
3. Machine Learning and Data Science Framework/2. Introducing Our Framework.mp4 11.4 MB
16. Career Advice + Extra Bits/6. JTS Learn to Learn.mp4 11.1 MB
20. Where To Go From Here/2. Thank You.mp4 11.1 MB
9. Scikit-learn Creating Machine Learning Models/19. Quick Tip How ML Algorithms Work.mp4 11.1 MB
17. Learn Python/18. Expressions vs Statements.mp4 11.0 MB
15. Storytelling + Communication How To Present Your Work/1. Section Overview.mp4 10.9 MB
6. Pandas Data Analysis/1. Section Overview.mp4 10.9 MB
17. Learn Python/5. Latest Version Of Python.mp4 10.7 MB
11. Milestone Project 1 Supervised Learning (Classification)/1. Section Overview.mp4 10.2 MB
13. Data Engineering/11. Hadoop, HDFS and MapReduce.mp4 10.1 MB
4. The 2 Paths/1. The 2 Paths.mp4 9.8 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/1. Section Overview.mp4 8.9 MB
8. Matplotlib Plotting and Data Visualization/1. Section Overview.mp4 8.6 MB
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8. Matplotlib Plotting and Data Visualization/8. Quick Tip Data Visualizations.srt 2.3 KB
13. Data Engineering/12. Apache Spark and Apache Flink.srt 2.3 KB
1. Introduction/2. Join Our Online Classroom!.html 2.3 KB
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14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/8. Setting Up Our Data 2.srt 2.2 KB
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9. Scikit-learn Creating Machine Learning Models/50. Scikit-Learn Practice.html 2.1 KB
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16. Career Advice + Extra Bits/1. Endorsements On LinkedIn.html 2.1 KB
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9. Scikit-learn Creating Machine Learning Models/19. Quick Tip How ML Algorithms Work.srt 1.9 KB
12. Milestone Project 2 Supervised Learning (Time Series Data)/1. Section Overview.srt 1.8 KB
12. Milestone Project 2 Supervised Learning (Time Series Data)/14. Challenge What's wrong with splitting data after filling it.html 1.7 KB
17. Learn Python/18. Expressions vs Statements.srt 1.7 KB
12. Milestone Project 2 Supervised Learning (Time Series Data)/5. Downloading the data for the next two projects.html 1.6 KB
9. Scikit-learn Creating Machine Learning Models/30. Reading Extension ROC Curve + AUC.html 1.5 KB
16. Career Advice + Extra Bits/14. Exercise Contribute To Open Source.html 1.5 KB
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18. Learn Python Part 2/44. Python Exam Testing Your Understanding.html 1.1 KB
11. Milestone Project 1 Supervised Learning (Classification)/18. Quick Note Confusion Matrix Labels.html 1.1 KB
6. Pandas Data Analysis/5. Data from URLs.html 1.1 KB
5. Data Science Environment Setup/9. Linux Environment Setup.html 1.0 KB
7. NumPy/18. Optional Extra NumPy resources.html 1.0 KB
9. Scikit-learn Creating Machine Learning Models/5. Quick Note Upcoming Videos.html 1018 bytes
3. Machine Learning and Data Science Framework/15. Optional Elements of AI.html 975 bytes
6. Pandas Data Analysis/2. Downloading Workbooks and Assignments.html 967 bytes
18. Learn Python Part 2/50. Next Steps.html 959 bytes
16. Career Advice + Extra Bits/13. Coding Challenges.html 948 bytes
20. Where To Go From Here/1. Become An Alumni.html 944 bytes
10. Supervised Learning Classification + Regression/1. Milestone Projects!.html 738 bytes
4. The 2 Paths/2. Python + Machine Learning Monthly.html 734 bytes
19. Bonus Learn Advanced Statistics and Mathematics for FREE!/1. Statistics and Mathematics.html 710 bytes
17. Learn Python/15. Exercise Operator Precedence.html 683 bytes
8. Matplotlib Plotting and Data Visualization/10. Quick Note Regular Expressions.html 632 bytes
16. Career Advice + Extra Bits/2. Quick Note Upcoming Video.html 587 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/3. Setting Up With Google.html 568 bytes
16. Career Advice + Extra Bits/5. Quick Note Upcoming Videos.html 565 bytes
13. Data Engineering/8. Quick Note Upcoming Video.html 481 bytes
18. Learn Python Part 2/46. Quick Note Upcoming Videos.html 448 bytes
13. Data Engineering/10. Optional Learn SQL.html 410 bytes
18. Learn Python Part 2/25. Exercise Tesla.html 402 bytes
9. Scikit-learn Creating Machine Learning Models/3. Quick Note Upcoming Video.html 390 bytes
6. Pandas Data Analysis/7.1 car-sales.csv 369 bytes
16. Career Advice + Extra Bits/8. Quick Note Upcoming Videos.html 352 bytes
16. Career Advice + Extra Bits/4. Learning Guideline.html 325 bytes
6. Pandas Data Analysis/9.1 car-sales-missing-data.csv 287 bytes
17. Learn Python/10. How To Succeed.html 280 bytes
9. Scikit-learn Creating Machine Learning Models/18. Quick Note Decision Trees.html 221 bytes
12. Milestone Project 2 Supervised Learning (Time Series Data)/2.3 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html 214 bytes
12. Milestone Project 2 Supervised Learning (Time Series Data)/21.1 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html 214 bytes
12. Milestone Project 2 Supervised Learning (Time Series Data)/2.2 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html 208 bytes
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11. Milestone Project 1 Supervised Learning (Classification)/2.2 End-to-end Heart Disease Classification Notebook (same as in videos).html 207 bytes
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11. Milestone Project 1 Supervised Learning (Classification)/2.3 End-to-end Heart Disease Classification Notebook (with annotations).html 201 bytes
11. Milestone Project 1 Supervised Learning (Classification)/23.2 End-to-end Heart Disease Classification Notebook (with annotations).html 201 bytes
9. Scikit-learn Creating Machine Learning Models/2.1 Introduction to Scikit-Learn Jupyter Notebook (from the upcoming videos).html 197 bytes
9. Scikit-learn Creating Machine Learning Models/49.1 Introduction to Scikit-Learn Jupyter Notebook (from the videos).html 197 bytes
8. Matplotlib Plotting and Data Visualization/2.2 Introduction to Matplotlib Jupyter Notebook (from the upcoming videos).html 195 bytes
8. Matplotlib Plotting and Data Visualization/19.1 Introduction to Matplotlib Notebook (from the videos).html 195 bytes
9. Scikit-learn Creating Machine Learning Models/6.1 Scikit-Learn Reference Notebook.html 194 bytes
9. Scikit-learn Creating Machine Learning Models/7.1 Example Scikit-Learn Workflow Notebook.html 192 bytes
6. Pandas Data Analysis/3.4 Introduction to Pandas Jupyter Notebook (from the upcoming videos).html 191 bytes
6. Pandas Data Analysis/11.1 Introduction to Pandas Jupyter Notebook (from the videos).html 191 bytes
9. Scikit-learn Creating Machine Learning Models/2.2 Introduction to Scikit-Learn Jupyter Notebook (with annotations).html 191 bytes
9. Scikit-learn Creating Machine Learning Models/31.1 Notebook from video with updated confusion matrix labels.html 191 bytes
9. Scikit-learn Creating Machine Learning Models/49.2 Introduction to Scikit-Learn Jupyter Notebook (with annotations).html 191 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/43.2 End-to-end Dog Vision Notebook (from the videos).html 191 bytes
7. NumPy/2.1 Introduction to NumPy Jupyter Notebook (from the upcoming videos).html 190 bytes
7. NumPy/16.1 Introduction to NumPy Jupyter Notebook (from the videos).html 190 bytes
6. Pandas Data Analysis/3.1 Introduction to Pandas Jupyter Notebook (with annotations).html 185 bytes
6. Pandas Data Analysis/11.2 Introduction to Pandas Jupyter Notebook (with annotations).html 185 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/43.1 End-to-end Dog Vision Notebook (with annotations).html 185 bytes
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7. NumPy/16.3 Introduction to NumPy Jupyter Notebook (with annotations).html 184 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4.4 End-to-end Dog Vision Notebook (the project we'll be working through).html 182 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/42.1 Dog Vision Predictions with MobileNetV2 Ready for Kaggle Submission.html 180 bytes
5. Data Science Environment Setup/10.1 Conda documentation on sharing an environment.html 172 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/27.3 Step by step breakdown of a convolutional neural network (what MobileNetV2 is made of).html 172 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41.1 Dog Vision Prediction Probabilities Array.html 170 bytes
18. Learn Python Part 2/4.1 Truthy vs Falsey Stackoverflow.html 170 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/28.1 [Article] How to choose loss & activation functions when building a deep learning model.html 169 bytes
5. Data Science Environment Setup/3.3 Getting your computer ready for machine learning How, what and why you should use Anaconda, Miniconda and Conda (blog post).html 167 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/27.2 MobileNetV2 (the model we're using) architecture explanation by Sik-Ho Tsang.html 163 bytes
17. Learn Python/6.2 Python 2 vs Python 3 - another one.html 161 bytes
2. Machine Learning 101/7. Are You Getting It Yet.html 160 bytes
11. Milestone Project 1 Supervised Learning (Classification)/2.1 Structured Data Projects on GitHub.html 155 bytes
12. Milestone Project 2 Supervised Learning (Time Series Data)/2.1 Structured Data Projects on GitHub.html 155 bytes
3. Machine Learning and Data Science Framework/3.1 A 6 Step Field Guide for Machine Learning Modelling (blog post).html 147 bytes
6. Pandas Data Analysis/9.2 Jake VanderPlas's Data Manipulation with Pandas.html 146 bytes
9. Scikit-learn Creating Machine Learning Models/48.1 Reading extension Scikit-Learn's Pipeline class explained.html 146 bytes
12. Milestone Project 2 Supervised Learning (Time Series Data)/10.1 Pandas Categorical Datatype Documentation.html 143 bytes
15. Storytelling + Communication How To Present Your Work/2.1 How to Think About Communicating and Sharing Your Work (blog post).html 142 bytes
5. Data Science Environment Setup/3.1 Getting started with Conda (documentation).html 139 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/31.1 Early Stopping Callback (a way to stop your model from training when it stops improving) Documentation.html 136 bytes
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9. Scikit-learn Creating Machine Learning Models/16.1 Scikit-Learn machine learning map (how to choose the right machine learning model).html 133 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25.3 MobileNetV2 (the model we're using) on TensorFlow Hub.html 132 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/10.1 Loading TensorFlow 2.0 into a Colab Notebook (if it isn't the default).html 129 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/14.1 Documentation on how many images Google recommends for image problems.html 129 bytes
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14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/35.1 TensorFlow documentation for the unbatch() function.html 127 bytes
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7. NumPy/12.1 Matrix Multiplication Explained.html 119 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4.5 Kaggle Dog Breed Identification Competition (the basis of our upcoming project).html 119 bytes
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12. Milestone Project 2 Supervised Learning (Time Series Data)/2.4 Kaggle Bluebook for Bulldozers Competition.html 118 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21.1 Yann LeCun's (OG of deep learning) Tweet on Batch Sizes.html 118 bytes
5. Data Science Environment Setup/11.1 Dataquest Jupyter Notebook for Beginners Tutorial.html 117 bytes
13. Data Engineering/7.2 A Primer on ACID Transactions.html 117 bytes
17. Learn Python/17.1 Python Keywords.html 117 bytes
17. Learn Python/36.2 Python Keywords.html 117 bytes
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14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4.1 Introduction to Google Colab example notebook.html 116 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/12.2 Introduction to Google Colab example notebook.html 116 bytes
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14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/6.2 Kaggle Dog Breed Identification Competition Data.html 115 bytes
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14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/11.1 Google Colab example GPU usage.html 114 bytes
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14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/18.2 Documentation for loading images in TensorFlow.html 114 bytes
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14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4.2 Google Colab IO example (how to get data in and out of your Colab notebook).html 113 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/6.1 Google Colab IO example (how to get data in and out of your Colab notebook).html 113 bytes
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14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/5.1 Google Colab FAQ (things you should know about Google Colab).html 110 bytes
17. Learn Python/27.1 Built in Functions.html 109 bytes
6. Pandas Data Analysis/13.2 Course notebooks - Github.html 108 bytes
9. Scikit-learn Creating Machine Learning Models/2.3 Scikit-Learn Documentation.html 108 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/17.1 Blog post by Rachel Thomas (of fast.ai) on how and why you should create a validation set.html 108 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/26.1 Keras in TensorFlow Overview Documentation.html 108 bytes
18. Learn Python Part 2/30.1 Solution Repl.html 108 bytes
5. Data Science Environment Setup/5.1 Miniconda download documentation.html 107 bytes
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14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/27.1 The Softmax Function (activation function we use in our model).html 107 bytes
6. Pandas Data Analysis/3.2 Pandas Documentation.html 106 bytes
15. Storytelling + Communication How To Present Your Work/6.2 fast_template by fast.ai (a template you can use for your blog on GitHub Pages).html 106 bytes
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17. Learn Python/15.1 Exercise Repl.html 106 bytes
17. Learn Python/30.1 Python Comments Best Practices.html 106 bytes
17. Learn Python/6.3 The Story of Python.html 104 bytes
17. Learn Python/11.1 Floating point numbers.html 104 bytes
17. Learn Python/24.1 Exercise Repl.html 104 bytes
8. Matplotlib Plotting and Data Visualization/2.1 Matplotlib Documentation.html 103 bytes
18. Learn Python Part 2/20.1 Solution Repl.html 102 bytes
18. Learn Python Part 2/43.1 Solution Repl.html 102 bytes
2. Machine Learning 101/3.1 Teachable Machine.html 101 bytes
17. Learn Python/25.1 Exercise Repl.html 101 bytes
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18. Learn Python Part 2/18.1 Solution Repl.html 99 bytes
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14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/18.1 TensorFlow guidelines for loading all kinds of data (turning your data into Tensors).html 98 bytes
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6. Pandas Data Analysis/13.1 Google Colab.html 95 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4.3 Google Colab (our workspace for the upcoming project).html 95 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/5.2 Google Colab (our workspace for the upcoming project).html 95 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25.1 Andrei Karpathy's talk on AI at Tesla.html 95 bytes
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5. Data Science Environment Setup/3.2 Conda documentation.html 93 bytes
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13. Data Engineering/2.1 Kaggle.html 92 bytes
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15. Storytelling + Communication How To Present Your Work/6.1 Devblog by Hashnode (an easy and free way to create a blog you own).html 89 bytes
2. Machine Learning 101/5.1 Machine Learning Playground.html 88 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25.2 Papers with Code (a great resource for some of the best machine learning papers with code examples).html 88 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25.4 PyTorch Hub (PyTorch version of TensorFlow Hub).html 85 bytes
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7. NumPy/2.3 NumPy Documentation.html 83 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/23.1 TensorFlow Hub (resource for pre-trained deep learning models and more).html 79 bytes
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25.5 TensorFlow Hub (resource for pre-trained deep learning models and more).html 79 bytes
17. Learn Python/3.1 Glot.io.html 77 bytes
17. Learn Python/3.2 Repl.it.html 77 bytes

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