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Checked by:
Category:
Language:
English
Total Size:
19.2 GB
Info Hash:
A920D321A8B693F839E7B08B7300A01BB9008E79
Added By:
Added:
Oct. 25, 2023, 10:35 p.m.
Stats:
|
(Last updated: May 14, 2025, 1:38 p.m.)
| File | Size |
|---|---|
| 8. Windows Environment Setup 2.mp4 | 227.6 MB |
| READ_ME.txt | 425 bytes |
| 1. Course Outline.mp4 | 77.3 MB |
| 1. Course Outline.srt | 9.2 KB |
| 2. Join Our Online Classroom!.html | 2.5 KB |
| 3. Exercise Meet The Community.html | 2.5 KB |
| 4. Your First Day.mp4 | 27.9 MB |
| 4. Your First Day.srt | 5.3 KB |
| READ_ME.txt | 425 bytes |
| 1. What Is Machine Learning.mp4 | 28.3 MB |
| 1. What Is Machine Learning.srt | 8.7 KB |
| 2. AIMachine LearningData Science.mp4 | 19.7 MB |
| 2. AIMachine LearningData Science.srt | 6.4 KB |
| 3. Exercise Machine Learning Playground.mp4 | 42.6 MB |
| 3. Exercise Machine Learning Playground.srt | 8.1 KB |
| 3.1 Teachable Machine.html | 101 bytes |
| 4. How Did We Get Here.mp4 | 30.5 MB |
| 4. How Did We Get Here.srt | 7.1 KB |
| 5. Exercise YouTube Recommendation Engine.mp4 | 19.4 MB |
| 5. Exercise YouTube Recommendation Engine.srt | 5.7 KB |
| 5.1 Machine Learning Playground.html | 88 bytes |
| 6. Types of Machine Learning.mp4 | 22.8 MB |
| 6. Types of Machine Learning.srt | 5.3 KB |
| 7. Are You Getting It Yet.html | 160 bytes |
| 8. What Is Machine Learning Round 2.mp4 | 25.5 MB |
| 8. What Is Machine Learning Round 2.srt | 6.1 KB |
| 9. Section Review.mp4 | 5.6 MB |
| 9. Section Review.srt | 2.3 KB |
| 1. Section Overview.mp4 | 13.3 MB |
| 1. Section Overview.srt | 4.7 KB |
| 2. Introducing Our Framework.mp4 | 11.4 MB |
| 2. Introducing Our Framework.srt | 3.7 KB |
| 3. 6 Step Machine Learning Framework.mp4 | 23.5 MB |
| 3. 6 Step Machine Learning Framework.srt | 6.6 KB |
| 3.1 A 6 Step Field Guide for Machine Learning Modelling (blog post).html | 147 bytes |
| 4. Types of Machine Learning Problems.mp4 | 60.5 MB |
| 4. Types of Machine Learning Problems.srt | 14.0 KB |
| 5. Types of Data.mp4 | 29.3 MB |
| 5. Types of Data.srt | 6.5 KB |
| 6. Types of Evaluation.mp4 | 17.8 MB |
| 6. Types of Evaluation.srt | 4.3 KB |
| 7. Features In Data.mp4 | 36.8 MB |
| 7. Features In Data.srt | 6.8 KB |
| 8. Modelling - Splitting Data.mp4 | 27.5 MB |
| 8. Modelling - Splitting Data.srt | 7.7 KB |
| 9. Modelling - Picking the Model.mp4 | 23.2 MB |
| 9. Modelling - Picking the Model.srt | 6.2 KB |
| 10. Modelling - Tuning.mp4 | 16.0 MB |
| 10. Modelling - Tuning.srt | 4.9 KB |
| 11. Modelling - Comparison.mp4 | 44.9 MB |
| 11. Modelling - Comparison.srt | 13.1 KB |
| 12. Overfitting and Underfitting Definitions.html | 2.0 KB |
| 13. Experimentation.mp4 | 21.3 MB |
| 13. Experimentation.srt | 5.0 KB |
| 14. Tools We Will Use.mp4 | 27.3 MB |
| 14. Tools We Will Use.srt | 6.0 KB |
| 15. Optional Elements of AI.html | 975 bytes |
| 1. The 2 Paths.mp4 | 9.7 MB |
| 1. The 2 Paths.srt | 4.7 KB |
| 2. Python + Machine Learning Monthly.html | 917 bytes |
| 3. Endorsements On LinkedIN.html | 2.1 KB |
| 1. Section Overview.mp4 | 6.0 MB |
| 1. Section Overview.srt | 2.1 KB |
| 2. Introducing Our Tools.mp4 | 19.3 MB |
| 2. Introducing Our Tools.srt | 4.3 KB |
| 3. What is Conda.mp4 | 12.5 MB |
| 3. What is Conda.srt | 3.4 KB |
| 3.1 Getting started with Conda (documentation).html | 139 bytes |
| 3.2 conda-cheatsheet.pdf | 211.3 KB |
| 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 |
| 3.4 Conda documentation.html | 93 bytes |
| 4. Conda Environments.mp4 | 30.6 MB |
| 4. Conda Environments.srt | 6.1 KB |
| 5. Mac Environment Setup.mp4 | 144.4 MB |
| 5. Mac Environment Setup.srt | 23.9 KB |
| 5.1 Miniconda download documentation.html | 107 bytes |
| 6. Mac Environment Setup 2.mp4 | 125.5 MB |
| 6. Mac Environment Setup 2.srt | 20.7 KB |
| 7. Windows Environment Setup.mp4 | 47.9 MB |
| 7. Windows Environment Setup.srt | 7.6 KB |
| 7.1 Miniconda download documentation.html | 107 bytes |
| READ_ME.txt | 425 bytes |
| 8. Windows Environment Setup 2.srt | 31.6 KB |
| 9. Linux Environment Setup.html | 1.0 KB |
| 10. Sharing your Conda Environment.html | 2.4 KB |
| 10.1 Conda documentation on sharing an environment.html | 172 bytes |
| 11. Jupyter Notebook Walkthrough.mp4 | 67.3 MB |
| 11. Jupyter Notebook Walkthrough.srt | 15.1 KB |
| 11.1 6-step-ml-framework.png | 324.2 KB |
| 11.2 heart-disease.csv | 11.1 KB |
| 11.3 Dataquest Jupyter Notebook for Beginners Tutorial.html | 117 bytes |
| 11.4 Jupyter Notebook documentation.html | 111 bytes |
| 12. Jupyter Notebook Walkthrough 2.mp4 | 103.9 MB |
| 12. Jupyter Notebook Walkthrough 2.srt | 22.5 KB |
| 13. Jupyter Notebook Walkthrough 3.mp4 | 71.4 MB |
| 13. Jupyter Notebook Walkthrough 3.srt | 11.5 KB |
| 1. Section Overview.mp4 | 10.9 MB |
| 1. Section Overview.srt | 3.7 KB |
| 2. Downloading Workbooks and Assignments.html | 967 bytes |
| 3. Pandas Introduction.mp4 | 27.4 MB |
| 3. Pandas Introduction.srt | 7.0 KB |
| 3.1 Introduction to Pandas Jupyter Notebook (from the upcoming videos).html | 191 bytes |
| 3.2 10-minutes to pandas (from the pandas documentation).html | 127 bytes |
| 3.3 Pandas Documentation.html | 106 bytes |
| 3.4 Introduction to Pandas Jupyter Notebook (with annotations).html | 185 bytes |
| 4. Series, Data Frames and CSVs.mp4 | 95.4 MB |
| 4. Series, Data Frames and CSVs.srt | 16.8 KB |
| 4.1 pandas-anatomy-of-a-dataframe.png | 333.2 KB |
| 5. Data from URLs.html | 1.1 KB |
| 6. Describing Data with Pandas.mp4 | 75.6 MB |
| 6. Describing Data with Pandas.srt | 13.6 KB |
| 7. Selecting and Viewing Data with Pandas.mp4 | 72.3 MB |
| 7. Selecting and Viewing Data with Pandas.srt | 14.6 KB |
| 7.1 car-sales.csv | 369 bytes |
| 8. Selecting and Viewing Data with Pandas Part 2.mp4 | 106.5 MB |
| 8. Selecting and Viewing Data with Pandas Part 2.srt | 17.9 KB |
| 9. Manipulating Data.mp4 | 105.0 MB |
| 9. Manipulating Data.srt | 18.1 KB |
| 9.1 Jake VanderPlas's Data Manipulation with Pandas.html | 146 bytes |
| 9.2 car-sales-missing-data.csv | 287 bytes |
| 10. Manipulating Data 2.mp4 | 86.5 MB |
| 10. Manipulating Data 2.srt | 13.8 KB |
| 10.1 pandas-anatomy-of-a-dataframe.png | 333.2 KB |
| 11. Manipulating Data 3.mp4 | 91.0 MB |
| 11. Manipulating Data 3.srt | 13.7 KB |
| 11.1 Introduction to Pandas Jupyter Notebook (with annotations).html | 185 bytes |
| 11.2 Introduction to Pandas Jupyter Notebook (from the videos).html | 191 bytes |
| 12. Assignment Pandas Practice.html | 2.1 KB |
| 13. How To Download The Course Assignments.mp4 | 66.8 MB |
| 13. How To Download The Course Assignments.srt | 11.1 KB |
| 13.1 Google Colab.html | 95 bytes |
| 13.2 Course notebooks - Github.html | 108 bytes |
| 1. Section Overview.mp4 | 13.3 MB |
| 1. Section Overview.srt | 3.1 KB |
| 2. NumPy Introduction.mp4 | 26.8 MB |
| 2. NumPy Introduction.srt | 7.5 KB |
| 2.1 Introduction to NumPy Jupyter Notebook (with annotations).html | 184 bytes |
| 2.2 NumPy Documentation.html | 83 bytes |
| 2.3 Introduction to NumPy Jupyter Notebook (from the upcoming videos).html | 190 bytes |
| 3. Quick Note Correction In Next Video.html | 1.2 KB |
| 4. NumPy DataTypes and Attributes.mp4 | 79.0 MB |
| 4. NumPy DataTypes and Attributes.srt | 19.2 KB |
| 5. Creating NumPy Arrays.mp4 | 66.8 MB |
| 5. Creating NumPy Arrays.srt | 12.4 KB |
| 6. NumPy Random Seed.mp4 | 51.9 MB |
| 6. NumPy Random Seed.srt | 9.7 KB |
| 7. Viewing Arrays and Matrices.mp4 | 70.6 MB |
| 7. Viewing Arrays and Matrices.srt | 12.9 KB |
| 8. Manipulating Arrays.mp4 | 80.7 MB |
| 8. Manipulating Arrays.srt | 16.2 KB |
| 8.1 Standard deviation and variance explained.html | 116 bytes |
| 9. Manipulating Arrays 2.mp4 | 67.9 MB |
| 9. Manipulating Arrays 2.srt | 11.5 KB |
| 9.1 Standard deviation and variance explained.html | 116 bytes |
| 10. Standard Deviation and Variance.mp4 | 51.2 MB |
| 10. Standard Deviation and Variance.srt | 9.3 KB |
| 10.1 Standard deviation and variance explained.html | 116 bytes |
| 11. Reshape and Transpose.mp4 | 53.5 MB |
| 11. Reshape and Transpose.srt | 9.5 KB |
| 12. Dot Product vs Element Wise.mp4 | 83.9 MB |
| 12. Dot Product vs Element Wise.srt | 15.3 KB |
| 12.1 Matrix Multiplication Explained.html | 119 bytes |
| 13. Exercise Nut Butter Store Sales.mp4 | 91.3 MB |
| 13. Exercise Nut Butter Store Sales.srt | 17.0 KB |
| 14. Comparison Operators.mp4 | 26.4 MB |
| 14. Comparison Operators.srt | 5.3 KB |
| 15. Sorting Arrays.mp4 | 32.8 MB |
| 15. Sorting Arrays.srt | 8.8 KB |
| 16. Turn Images Into NumPy Arrays.mp4 | 85.9 MB |
| 16. Turn Images Into NumPy Arrays.srt | 10.4 KB |
| 16.1 Introduction to NumPy Jupyter Notebook (from the videos).html | 190 bytes |
| 16.2 Introduction to NumPy Jupyter Notebook (with annotations).html | 184 bytes |
| 16.3 numpy-images.zip | 7.3 MB |
| 17. Assignment NumPy Practice.html | 2.2 KB |
| 18. Optional Extra NumPy resources.html | 1.0 KB |
| 1. Section Overview.mp4 | 8.6 MB |
| 1. Section Overview.srt | 2.7 KB |
| 2. Matplotlib Introduction.mp4 | 31.5 MB |
| 2. Matplotlib Introduction.srt | 8.0 KB |
| 2.1 Introduction to Matplotlib Jupyter Notebook (from the upcoming videos).html | 195 bytes |
| 2.2 Matplotlib Documentation.html | 103 bytes |
| 3. Importing And Using Matplotlib.mp4 | 86.4 MB |
| 3. Importing And Using Matplotlib.srt | 16.0 KB |
| 4. Anatomy Of A Matplotlib Figure.mp4 | 82.2 MB |
| 4. Anatomy Of A Matplotlib Figure.srt | 14.2 KB |
| 4.1 matplotlib-anatomy-of-a-plot-with-code.png | 654.8 KB |
| 4.2 matplotlib-anatomy-of-a-plot.png | 369.4 KB |
| 5. Scatter Plot And Bar Plot.mp4 | 67.0 MB |
| 5. Scatter Plot And Bar Plot.srt | 14.7 KB |
| 6. Histograms And Subplots.mp4 | 69.7 MB |
| 6. Histograms And Subplots.srt | 12.4 KB |
| 7. Subplots Option 2.mp4 | 38.1 MB |
| 7. Subplots Option 2.srt | 6.4 KB |
| 8. Quick Tip Data Visualizations.mp4 | 12.3 MB |
| 8. Quick Tip Data Visualizations.srt | 2.3 KB |
| 9. Plotting From Pandas DataFrames.mp4 | 60.3 MB |
| 9. Plotting From Pandas DataFrames.srt | 9.0 KB |
| 10. Quick Note Regular Expressions.html | 632 bytes |
| 11. Plotting From Pandas DataFrames 2.mp4 | 98.8 MB |
| 11. Plotting From Pandas DataFrames 2.srt | 13.6 KB |
| 12. Plotting from Pandas DataFrames 3.mp4 | 74.7 MB |
| 12. Plotting from Pandas DataFrames 3.srt | 11.5 KB |
| 13. Plotting from Pandas DataFrames 4.mp4 | 49.0 MB |
| 13. Plotting from Pandas DataFrames 4.srt | 9.4 KB |
| 13.1 heart-disease.csv | 11.1 KB |
| 14. Plotting from Pandas DataFrames 5.mp4 | 57.0 MB |
| 14. Plotting from Pandas DataFrames 5.srt | 11.6 KB |
| 15. Plotting from Pandas DataFrames 6.mp4 | 82.0 MB |
| 15. Plotting from Pandas DataFrames 6.srt | 11.1 KB |
| 16. Plotting from Pandas DataFrames 7.mp4 | 119.8 MB |
| 16. Plotting from Pandas DataFrames 7.srt | 14.9 KB |
| 17. Customizing Your Plots.mp4 | 92.2 MB |
| 17. Customizing Your Plots.srt | 14.0 KB |
| 18. Customizing Your Plots 2.mp4 | 123.6 MB |
| 18. Customizing Your Plots 2.srt | 13.3 KB |
| 19. Saving And Sharing Your Plots.mp4 | 49.5 MB |
| 19. Saving And Sharing Your Plots.srt | 5.8 KB |
| 19.1 Introduction to Matplotlib Notebook (from the videos).html | 195 bytes |
| 20. Assignment Matplotlib Practice.html | 2.1 KB |
| 1. Section Overview.mp4 | 12.5 MB |
| 1. Section Overview.srt | 4.1 KB |
| 2. Scikit-learn Introduction.mp4 | 40.6 MB |
| 2. Scikit-learn Introduction.srt | 10.6 KB |
| 2.1 Introduction to Scikit-Learn Jupyter Notebook (from the upcoming videos).html | 197 bytes |
| 2.2 Scikit-Learn Documentation.html | 108 bytes |
| 2.3 Introduction to Scikit-Learn Jupyter Notebook (with annotations).html | 191 bytes |
| 3. Quick Note Upcoming Video.html | 390 bytes |
| 4. Refresher What Is Machine Learning.mp4 | 88.3 MB |
| 4. Refresher What Is Machine Learning.srt | 6.3 KB |
| 5. Quick Note Upcoming Videos.html | 1018 bytes |
| 6. Scikit-learn Cheatsheet.mp4 | 75.1 MB |
| 6. Scikit-learn Cheatsheet.srt | 10.1 KB |
| 6.1 Scikit-Learn Reference Notebook.html | 194 bytes |
| 7. Typical scikit-learn Workflow.mp4 | 190.2 MB |
| 7. Typical scikit-learn Workflow.srt | 31.7 KB |
| 7.1 Example Scikit-Learn Workflow Notebook.html | 192 bytes |
| 8. Optional Debugging Warnings In Jupyter.mp4 | 176.1 MB |
| 8. Optional Debugging Warnings In Jupyter.srt | 25.5 KB |
| 9. Getting Your Data Ready Splitting Your Data.mp4 | 63.7 MB |
| 9. Getting Your Data Ready Splitting Your Data.srt | 12.1 KB |
| 9.1 scikit-learn-data.zip | 20.8 KB |
| 10. Quick Tip Clean, Transform, Reduce.mp4 | 16.5 MB |
| 10. Quick Tip Clean, Transform, Reduce.srt | 6.4 KB |
| 11. Getting Your Data Ready Convert Data To Numbers.mp4 | 135.0 MB |
| 11. Getting Your Data Ready Convert Data To Numbers.srt | 22.7 KB |
| 12. Getting Your Data Ready Handling Missing Values With Pandas.mp4 | 104.8 MB |
| 12. Getting Your Data Ready Handling Missing Values With Pandas.srt | 16.9 KB |
| 13. Extension Feature Scaling.html | 2.9 KB |
| 14. Note Correction in the upcoming video (splitting data).html | 2.2 KB |
| 15. Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 | 136.9 MB |
| 15. Getting Your Data Ready Handling Missing Values With Scikit-learn.srt | 23.1 KB |
| 16. Choosing The Right Model For Your Data.mp4 | 143.3 MB |
| 16. Choosing The Right Model For Your Data.srt | 21.4 KB |
| 16.1 Scikit-Learn machine learning map (how to choose the right machine learning model).html | 133 bytes |
| 17. Choosing The Right Model For Your Data 2 (Regression).mp4 | 86.9 MB |
| 17. Choosing The Right Model For Your Data 2 (Regression).srt | 12.0 KB |
| 18. Quick Note Decision Trees.html | 221 bytes |
| 19. Quick Tip How ML Algorithms Work.mp4 | 11.1 MB |
| 19. Quick Tip How ML Algorithms Work.srt | 1.9 KB |
| 20. Choosing The Right Model For Your Data 3 (Classification).mp4 | 118.8 MB |
| 20. Choosing The Right Model For Your Data 3 (Classification).srt | 17.1 KB |
| 21. Fitting A Model To The Data.mp4 | 56.6 MB |
| 21. Fitting A Model To The Data.srt | 9.3 KB |
| 22. Making Predictions With Our Model.mp4 | 66.5 MB |
| 22. Making Predictions With Our Model.srt | 12.1 KB |
| 23. predict() vs predict_proba().mp4 | 54.3 MB |
| 23. predict() vs predict_proba().srt | 11.6 KB |
| 24. Making Predictions With Our Model (Regression).mp4 | 44.9 MB |
| 24. Making Predictions With Our Model (Regression).srt | 9.1 KB |
| 25. Evaluating A Machine Learning Model (Score).mp4 | 87.1 MB |
| 25. Evaluating A Machine Learning Model (Score).srt | 12.9 KB |
| 26. Evaluating A Machine Learning Model 2 (Cross Validation).mp4 | 96.0 MB |
| 26. Evaluating A Machine Learning Model 2 (Cross Validation).srt | 17.3 KB |
| 27. Evaluating A Classification Model 1 (Accuracy).mp4 | 31.4 MB |
| 27. Evaluating A Classification Model 1 (Accuracy).srt | 5.9 KB |
| 28. Evaluating A Classification Model 2 (ROC Curve).mp4 | 66.0 MB |
| 28. Evaluating A Classification Model 2 (ROC Curve).srt | 12.3 KB |
| 29. Evaluating A Classification Model 3 (ROC Curve).mp4 | 50.6 MB |
| 29. Evaluating A Classification Model 3 (ROC Curve).srt | 10.0 KB |
| 30. Reading Extension ROC Curve + AUC.html | 1.5 KB |
| 31. Evaluating A Classification Model 4 (Confusion Matrix).mp4 | 77.7 MB |
| 31. Evaluating A Classification Model 4 (Confusion Matrix).srt | 15.1 KB |
| 31.1 Notebook from video with updated confusion matrix labels.html | 191 bytes |
| 32. Evaluating A Classification Model 5 (Confusion Matrix).mp4 | 63.8 MB |
| 32. Evaluating A Classification Model 5 (Confusion Matrix).srt | 11.2 KB |
| 33. Evaluating A Classification Model 6 (Classification Report).mp4 | 87.2 MB |
| 33. Evaluating A Classification Model 6 (Classification Report).srt | 14.6 KB |
| 34. Evaluating A Regression Model 1 (R2 Score).mp4 | 70.4 MB |
| 34. Evaluating A Regression Model 1 (R2 Score).srt | 12.0 KB |
| 35. Evaluating A Regression Model 2 (MAE).mp4 | 28.5 MB |
| 35. Evaluating A Regression Model 2 (MAE).srt | 5.7 KB |
| 36. Evaluating A Regression Model 3 (MSE).mp4 | 54.9 MB |
| 36. Evaluating A Regression Model 3 (MSE).srt | 9.2 KB |
| 37. Machine Learning Model Evaluation.html | 7.1 KB |
| 38. Evaluating A Model With Cross Validation and Scoring Parameter.mp4 | 91.5 MB |
| 38. Evaluating A Model With Cross Validation and Scoring Parameter.srt | 18.0 KB |
| 39. Evaluating A Model With Scikit-learn Functions.mp4 | 94.8 MB |
| 39. Evaluating A Model With Scikit-learn Functions.srt | 16.3 KB |
| 40. Improving A Machine Learning Model.mp4 | 90.9 MB |
| 40. Improving A Machine Learning Model.srt | 14.9 KB |
| 41. Tuning Hyperparameters.mp4 | 175.7 MB |
| 41. Tuning Hyperparameters.srt | 30.6 KB |
| 42. Tuning Hyperparameters 2.mp4 | 116.8 MB |
| 42. Tuning Hyperparameters 2.srt | 17.0 KB |
| 43. Tuning Hyperparameters 3.mp4 | 121.8 MB |
| 43. Tuning Hyperparameters 3.srt | 18.8 KB |
| 44. Note Metric Comparison Improvement.html | 2.2 KB |
| 45. Quick Tip Correlation Analysis.mp4 | 16.9 MB |
| 45. Quick Tip Correlation Analysis.srt | 3.1 KB |
| 46. Saving And Loading A Model.mp4 | 52.6 MB |
| 46. Saving And Loading A Model.srt | 9.8 KB |
| 47. Saving And Loading A Model 2.mp4 | 56.8 MB |
| 47. Saving And Loading A Model 2.srt | 9.0 KB |
| 48. Putting It All Together.mp4 | 150.6 MB |
| 48. Putting It All Together.srt | 29.6 KB |
| 48.1 Reading extension Scikit-Learn's Pipeline class explained.html | 146 bytes |
| 49. Putting It All Together 2.mp4 | 116.9 MB |
| 49. Putting It All Together 2.srt | 16.1 KB |
| 49.1 Introduction to Scikit-Learn Jupyter Notebook (from the videos).html | 197 bytes |
| 49.2 Introduction to Scikit-Learn Jupyter Notebook (with annotations).html | 191 bytes |
| 50. Scikit-Learn Practice.html | 2.1 KB |
| car-sales-extended-missing-data.csv | 30.2 KB |
| car-sales-extended.csv | 25.7 KB |
| car-sales-missing-data.csv | 287 bytes |
| heart-disease.csv | 11.1 KB |
| 1. Milestone Projects!.html | 738 bytes |
| 1. Section Overview.mp4 | 10.2 MB |
| 1. Section Overview.srt | 3.1 KB |
| 2. Project Overview.mp4 | 34.4 MB |
| 2. Project Overview.srt | 10.0 KB |
| 2.1 End-to-end Heart Disease Classification Notebook (with annotations).html | 201 bytes |
| 2.2 Structured Data Projects on GitHub.html | 155 bytes |
| 2.3 End-to-end Heart Disease Classification Notebook (same as in videos).html | 207 bytes |
| 3. Project Environment Setup.mp4 | 100.8 MB |
| 3. Project Environment Setup.srt | 14.4 KB |
| 4. Optional Windows Project Environment Setup.mp4 | 35.8 MB |
| 4. Optional Windows Project Environment Setup.srt | 5.6 KB |
| 5. Step 1~4 Framework Setup.mp4 | 105.5 MB |
| 5. Step 1~4 Framework Setup.srt | 16.6 KB |
| 6. Getting Our Tools Ready.mp4 | 79.4 MB |
| 6. Getting Our Tools Ready.srt | 12.8 KB |
| 7. Exploring Our Data.mp4 | 66.9 MB |
| 7. Exploring Our Data.srt | 11.4 KB |
| 7.1 heart-disease.csv | 11.1 KB |
| 8. Finding Patterns.mp4 | 63.3 MB |
| 8. Finding Patterns.srt | 13.4 KB |
| 9. Finding Patterns 2.mp4 | 99.9 MB |
| 9. Finding Patterns 2.srt | 22.3 KB |
| 10. Finding Patterns 3.mp4 | 137.9 MB |
| 10. Finding Patterns 3.srt | 18.9 KB |
| 11. Preparing Our Data For Machine Learning.mp4 | 72.6 MB |
| 11. Preparing Our Data For Machine Learning.srt | 12.0 KB |
| 12. Choosing The Right Models.mp4 | 96.4 MB |
| 12. Choosing The Right Models.srt | 13.0 KB |
| 13. Experimenting With Machine Learning Models.mp4 | 55.3 MB |
| 13. Experimenting With Machine Learning Models.srt | 9.6 KB |
| 14. TuningImproving Our Model.mp4 | 102.8 MB |
| 14. TuningImproving Our Model.srt | 17.6 KB |
| 15. Tuning Hyperparameters.mp4 | 108.0 MB |
| 15. Tuning Hyperparameters.srt | 15.7 KB |
| 16. Tuning Hyperparameters 2.mp4 | 104.1 MB |
| 16. Tuning Hyperparameters 2.srt | 15.1 KB |
| 17. Tuning Hyperparameters 3.mp4 | 63.0 MB |
| 17. Tuning Hyperparameters 3.srt | 9.9 KB |
| 18. Quick Note Confusion Matrix Labels.html | 1.1 KB |
| 19. Evaluating Our Model.mp4 | 71.6 MB |
| 19. Evaluating Our Model.srt | 15.1 KB |
| 20. Evaluating Our Model 2.mp4 | 41.5 MB |
| 20. Evaluating Our Model 2.srt | 7.4 KB |
| 21. Evaluating Our Model 3.mp4 | 64.8 MB |
| 21. Evaluating Our Model 3.srt | 11.5 KB |
| 22. Finding The Most Important Features.mp4 | 127.5 MB |
| 22. Finding The Most Important Features.srt | 22.3 KB |
| 23. Reviewing The Project.mp4 | 86.1 MB |
| 23. Reviewing The Project.srt | 13.8 KB |
| 23.1 End-to-end Heart Disease Classification Notebook (with annotations).html | 201 bytes |
| 23.2 End-to-end Heart Disease Classification Notebook (same as in videos).html | 207 bytes |
| 1. Section Overview.mp4 | 9.0 MB |
| 1. Section Overview.srt | 1.8 KB |
| 2. Project Overview.mp4 | 32.9 MB |
| 2. Project Overview.srt | 6.7 KB |
| 2.1 Structured Data Projects on GitHub.html | 155 bytes |
| 2.2 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html | 214 bytes |
| 2.3 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html | 208 bytes |
| 2.4 Kaggle Bluebook for Bulldozers Competition.html | 118 bytes |
| 3. Project Environment Setup.mp4 | 101.3 MB |
| 3. Project Environment Setup.srt | 15.9 KB |
| 4. Step 1~4 Framework Setup.mp4 | 85.7 MB |
| 4. Step 1~4 Framework Setup.srt | 12.4 KB |
| 5. Downloading the data for the next two projects.html | 1.6 KB |
| 6. Exploring Our Data.mp4 | 137.8 MB |
| 6. Exploring Our Data.srt | 20.0 KB |
| 7. Exploring Our Data 2.mp4 | 52.0 MB |
| 7. Exploring Our Data 2.srt | 8.6 KB |
| 8. Feature Engineering.mp4 | 159.1 MB |
| 8. Feature Engineering.srt | 22.1 KB |
| 9. Turning Data Into Numbers.mp4 | 146.2 MB |
| 9. Turning Data Into Numbers.srt | 22.3 KB |
| 10. Filling Missing Numerical Values.mp4 | 106.3 MB |
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| 11. Filling Missing Categorical Values.mp4 | 66.9 MB |
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| 12. Fitting A Machine Learning Model.mp4 | 55.5 MB |
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| 13. Splitting Data.mp4 | 82.7 MB |
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| 15. Custom Evaluation Function.mp4 | 103.4 MB |
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| 16. Reducing Data.mp4 | 93.5 MB |
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| 17. RandomizedSearchCV.mp4 | 85.8 MB |
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| 18. Improving Hyperparameters.mp4 | 79.3 MB |
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| 19. Preproccessing Our Data.mp4 | 139.3 MB |
| 19. Preproccessing Our Data.srt | 17.8 KB |
| 20. Making Predictions.mp4 | 79.2 MB |
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| 21. Feature Importance.mp4 | 142.3 MB |
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| 21.2 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html | 214 bytes |
| 1. Data Engineering Introduction.mp4 | 13.5 MB |
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| 2. What Is Data.mp4 | 42.2 MB |
| 2. What Is Data.srt | 7.6 KB |
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| 3. What Is A Data Engineer.mp4 | 15.2 MB |
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| 7. Types Of Databases.mp4 | 32.6 MB |
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| 7.1 OLTP vs OLAP.html | 126 bytes |
| 7.2 A Primer on ACID Transactions.html | 117 bytes |
| 8. Quick Note Upcoming Video.html | 481 bytes |
| 9. Optional OLTP Databases.mp4 | 79.7 MB |
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| 10. Optional Learn SQL.html | 410 bytes |
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| 12. Apache Spark and Apache Flink.mp4 | 5.8 MB |
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| 1. Section Overview.mp4 | 12.2 MB |
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| 2. Deep Learning and Unstructured Data.mp4 | 102.0 MB |
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| 3. Setting Up With Google.html | 568 bytes |
| 4. Setting Up Google Colab.mp4 | 74.2 MB |
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| 4.1 Kaggle Dog Breed Identification Competition (the basis of our upcoming project).html | 119 bytes |
| 4.2 Google Colab (our workspace for the upcoming project).html | 95 bytes |
| 4.3 Google Colab IO example (how to get data in and out of your Colab notebook).html | 113 bytes |
| 4.4 Introduction to Google Colab example notebook.html | 116 bytes |
| 4.5 End-to-end Dog Vision Notebook (the project we'll be working through).html | 182 bytes |
| 5. Google Colab Workspace.mp4 | 39.6 MB |
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| 5.1 Google Colab FAQ (things you should know about Google Colab).html | 110 bytes |
| 5.2 Google Colab (our workspace for the upcoming project).html | 95 bytes |
| 6. Uploading Project Data.mp4 | 52.0 MB |
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| 6.2 Google Colab IO example (how to get data in and out of your Colab notebook).html | 113 bytes |
| 7. Setting Up Our Data.mp4 | 42.3 MB |
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| 9. Importing TensorFlow 2.mp4 | 116.8 MB |
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| 10. Optional TensorFlow 2.0 Default Issue.mp4 | 28.1 MB |
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| 10.1 Loading TensorFlow 2.0 into a Colab Notebook (if it isn't the default).html | 129 bytes |
| 11. Using A GPU.mp4 | 80.6 MB |
| 11. Using A GPU.srt | 12.1 KB |
| 11.1 Google Colab example GPU usage.html | 114 bytes |
| 12. Optional GPU and Google Colab.mp4 | 45.9 MB |
| 12. Optional GPU and Google Colab.srt | 6.0 KB |
| 12.1 Introduction to Google Colab example notebook.html | 116 bytes |
| 12.2 Google Colab Example of GPU speed up versus CPU.html | 114 bytes |
| 13. Optional Reloading Colab Notebook.mp4 | 88.7 MB |
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| 14. Loading Our Data Labels.mp4 | 114.8 MB |
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| 14.1 Documentation on how many images Google recommends for image problems.html | 129 bytes |
| 15. Preparing The Images.mp4 | 133.9 MB |
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| 16. Turning Data Labels Into Numbers.mp4 | 107.5 MB |
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| 17. Creating Our Own Validation Set.mp4 | 66.4 MB |
| 17. Creating Our Own Validation Set.srt | 11.3 KB |
| 17.1 Blog post by Rachel Thomas (of fast.ai) on how and why you should create a validation set.html | 108 bytes |
| 18. Preprocess Images.mp4 | 90.1 MB |
| 18. Preprocess Images.srt | 12.9 KB |
| 18.1 Documentation for loading images in TensorFlow.html | 114 bytes |
| 18.2 TensorFlow guidelines for loading all kinds of data (turning your data into Tensors).html | 98 bytes |
| 19. Preprocess Images 2.mp4 | 105.1 MB |
| 19. Preprocess Images 2.srt | 12.9 KB |
| 20. Turning Data Into Batches.mp4 | 87.8 MB |
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| 21. Turning Data Into Batches 2.mp4 | 149.4 MB |
| 21. Turning Data Into Batches 2.srt | 20.2 KB |
| 21.1 Yann LeCun's (OG of deep learning) Tweet on Batch Sizes.html | 118 bytes |
| 22. Visualizing Our Data.mp4 | 122.0 MB |
| 22. Visualizing Our Data.srt | 15.7 KB |
| 23. Preparing Our Inputs and Outputs.mp4 | 50.1 MB |
| 23. Preparing Our Inputs and Outputs.srt | 7.8 KB |
| 23.1 TensorFlow Hub (resource for pre-trained deep learning models and more).html | 79 bytes |
| 24. Optional How machines learn and what's going on behind the scenes.html | 2.7 KB |
| 25. Building A Deep Learning Model.mp4 | 121.9 MB |
| 25. Building A Deep Learning Model.srt | 15.9 KB |
| 25.1 Andrei Karpathy's talk on AI at Tesla.html | 95 bytes |
| 25.2 Papers with Code (a great resource for some of the best machine learning papers with code examples).html | 88 bytes |
| 25.3 MobileNetV2 (the model we're using) on TensorFlow Hub.html | 132 bytes |
| 25.4 PyTorch Hub (PyTorch version of TensorFlow Hub).html | 85 bytes |
| 25.5 TensorFlow Hub (resource for pre-trained deep learning models and more).html | 79 bytes |
| 26. Building A Deep Learning Model 2.mp4 | 105.9 MB |
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| 26.1 Keras in TensorFlow Overview Documentation.html | 108 bytes |
| 27. Building A Deep Learning Model 3.mp4 | 105.9 MB |
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| 27.1 The Softmax Function (activation function we use in our model).html | 107 bytes |
| 27.2 Step by step breakdown of a convolutional neural network (what MobileNetV2 is made of).html | 172 bytes |
| 27.3 MobileNetV2 (the model we're using) architecture explanation by Sik-Ho Tsang.html | 163 bytes |
| 28. Building A Deep Learning Model 4.mp4 | 86.3 MB |
| 28. Building A Deep Learning Model 4.srt | 12.0 KB |
| 28.1 [Article] How to choose loss & activation functions when building a deep learning model.html | 169 bytes |
| 29. Summarizing Our Model.mp4 | 45.4 MB |
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| 30. Evaluating Our Model.mp4 | 79.3 MB |
| 30. Evaluating Our Model.srt | 10.4 KB |
| 30.1 TensorBoard Callback Documentation.html | 134 bytes |
| 31. Preventing Overfitting.mp4 | 36.5 MB |
| 31. Preventing Overfitting.srt | 5.5 KB |
| 31.1 Early Stopping Callback (a way to stop your model from training when it stops improving) Documentation.html | 136 bytes |
| 32. Training Your Deep Neural Network.mp4 | 166.6 MB |
| 32. Training Your Deep Neural Network.srt | 23.1 KB |
| 33. Evaluating Performance With TensorBoard.mp4 | 74.2 MB |
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| 34. Make And Transform Predictions.mp4 | 155.0 MB |
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| 35. Transform Predictions To Text.mp4 | 129.9 MB |
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| 35.1 TensorFlow documentation for the unbatch() function.html | 127 bytes |
| 36. Visualizing Model Predictions.mp4 | 119.3 MB |
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| 37. Visualizing And Evaluate Model Predictions 2.mp4 | 143.8 MB |
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| 38. Visualizing And Evaluate Model Predictions 3.mp4 | 113.2 MB |
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| 39. Saving And Loading A Trained Model.mp4 | 127.0 MB |
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| 40. Training Model On Full Dataset.mp4 | 139.8 MB |
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| 41. Making Predictions On Test Images.mp4 | 140.8 MB |
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| 41.1 Dog Vision Prediction Probabilities Array.html | 170 bytes |
| 42. Submitting Model to Kaggle.mp4 | 121.3 MB |
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| 42.1 Dog Vision Predictions with MobileNetV2 Ready for Kaggle Submission.html | 180 bytes |
| 43. Making Predictions On Our Images.mp4 | 119.2 MB |
| 43. Making Predictions On Our Images.srt | 18.6 KB |
| 43.1 End-to-end Dog Vision Notebook (with annotations).html | 185 bytes |
| 43.2 End-to-end Dog Vision Notebook (from the videos).html | 191 bytes |
| 44. Finishing Dog Vision Where to next.html | 3.9 KB |
| 1. Section Overview.mp4 | 10.9 MB |
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| 2. Communicating Your Work.mp4 | 20.2 MB |
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| 2.1 How to Think About Communicating and Sharing Your Work (blog post).html | 142 bytes |
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| 5. Weekend Project Principle.mp4 | 23.6 MB |
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| 6. Communicating With Outside World.mp4 | 14.5 MB |
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| 6.1 fast_template by fast.ai (a template you can use for your blog on GitHub Pages).html | 106 bytes |
| 6.2 Devblog by Hashnode (an easy and free way to create a blog you own).html | 89 bytes |
| 7. Storytelling.mp4 | 12.0 MB |
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| 8. Communicating and sharing your work Further reading.html | 3.1 KB |
| 1. Endorsements On LinkedIn.html | 2.1 KB |
| 2. Quick Note Upcoming Video.html | 587 bytes |
| 3. What If I Don't Have Enough Experience.mp4 | 161.0 MB |
| 3. What If I Don't Have Enough Experience.srt | 20.0 KB |
| 4. Learning Guideline.html | 325 bytes |
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| 7. JTS Start With Why.mp4 | 15.4 MB |
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| 9. CWD Git + Github.mp4 | 176.1 MB |
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| 10. CWD Git + Github 2.mp4 | 118.4 MB |
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| 11. Contributing To Open Source.mp4 | 130.3 MB |
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| 12. Contributing To Open Source 2.mp4 | 113.1 MB |
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| 13. Coding Challenges.html | 948 bytes |
| 14. Exercise Contribute To Open Source.html | 1.5 KB |
| 1. What Is A Programming Language.mp4 | 104.8 MB |
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| 2. Python Interpreter.mp4 | 78.0 MB |
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| 2.1 python.org.html | 84 bytes |
| 3. How To Run Python Code.mp4 | 52.9 MB |
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| 3.1 Glot.io.html | 77 bytes |
| 3.2 Repl.it.html | 77 bytes |
| 4. Our First Python Program.mp4 | 47.2 MB |
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| 5. Latest Version Of Python.mp4 | 10.7 MB |
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| 6. Python 2 vs Python 3.mp4 | 69.5 MB |
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| 6.1 Python 2 vs Python 3.html | 128 bytes |
| 6.2 The Story of Python.html | 104 bytes |
| 6.3 Python 2 vs Python 3 - another one.html | 161 bytes |
| 7. Exercise How Does Python Work.mp4 | 26.0 MB |
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| 8. Learning Python.mp4 | 38.5 MB |
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| 9. Python Data Types.mp4 | 28.8 MB |
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| 10. How To Succeed.html | 280 bytes |
| 11. Numbers.mp4 | 72.7 MB |
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| 11.1 Floating point numbers.html | 104 bytes |
| 12. Math Functions.mp4 | 41.8 MB |
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| 13. DEVELOPER FUNDAMENTALS I.mp4 | 59.7 MB |
| 13. DEVELOPER FUNDAMENTALS I.srt | 5.2 KB |
| 14. Operator Precedence.mp4 | 14.4 MB |
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| 14.1 Exercise Repl.html | 106 bytes |
| 15. Exercise Operator Precedence.html | 683 bytes |
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| 17. Variables.mp4 | 93.6 MB |
| 17. Variables.srt | 16.0 KB |
| 17.1 Python Keywords.html | 117 bytes |
| 18. Expressions vs Statements.mp4 | 11.0 MB |
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| 19. Augmented Assignment Operator.mp4 | 15.3 MB |
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| 20. Strings.mp4 | 31.0 MB |
| 20. Strings.srt | 6.3 KB |
| 21. String Concatenation.mp4 | 7.3 MB |
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| 22. Type Conversion.mp4 | 19.0 MB |
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| 23. Escape Sequences.mp4 | 23.2 MB |
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| 24. Formatted Strings.mp4 | 49.3 MB |
| 24. Formatted Strings.srt | 8.8 KB |
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| 25. String Indexes.mp4 | 49.2 MB |
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| 25.1 Exercise Repl.html | 101 bytes |
| 26. Immutability.mp4 | 20.8 MB |
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| 27. Built-In Functions + Methods.mp4 | 69.4 MB |
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| 27.1 String Methods.html | 115 bytes |
| 27.2 Built in Functions.html | 109 bytes |
| 28. Booleans.mp4 | 16.5 MB |
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| 29. Exercise Type Conversion.mp4 | 50.3 MB |
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| 30. DEVELOPER FUNDAMENTALS II.mp4 | 29.2 MB |
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| 30.1 Python Comments Best Practices.html | 106 bytes |
| 31. Exercise Password Checker.mp4 | 51.1 MB |
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| 32. Lists.mp4 | 22.0 MB |
| 32. Lists.srt | 5.6 KB |
| 33. List Slicing.mp4 | 49.9 MB |
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| 34. Matrix.mp4 | 19.1 MB |
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| 35. List Methods.mp4 | 61.8 MB |
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| 37. List Methods 3.mp4 | 27.7 MB |
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| 38. Common List Patterns.mp4 | 40.5 MB |
| 38. Common List Patterns.srt | 5.8 KB |
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| 40. None.mp4 | 7.9 MB |
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| 41. Dictionaries.mp4 | 32.7 MB |
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| 42. DEVELOPER FUNDAMENTALS III.mp4 | 26.6 MB |
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| 43. Dictionary Keys.mp4 | 20.4 MB |
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| 46. Tuples.mp4 | 25.6 MB |
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| 48. Sets.mp4 | 37.0 MB |
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| 49. Sets 2.mp4 | 64.3 MB |
| 49. Sets 2.srt | 9.2 KB |
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| 1. Breaking The Flow.mp4 | 20.3 MB |
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| 2. Conditional Logic.mp4 | 74.6 MB |
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| 3. Indentation In Python.mp4 | 28.0 MB |
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| 4. Truthy vs Falsey.mp4 | 42.8 MB |
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| 4.1 Truthy vs Falsey Stackoverflow.html | 170 bytes |
| 5. Ternary Operator.mp4 | 19.7 MB |
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| 6. Short Circuiting.mp4 | 19.4 MB |
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| 7. Logical Operators.mp4 | 28.3 MB |
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| 8. Exercise Logical Operators.mp4 | 46.6 MB |
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| 9. is vs ==.mp4 | 33.6 MB |
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| 10. For Loops.mp4 | 34.3 MB |
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| 11. Iterables.mp4 | 43.2 MB |
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| 12. Exercise Tricky Counter.mp4 | 16.4 MB |
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| 14. enumerate().mp4 | 24.8 MB |
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| 15. While Loops.mp4 | 28.3 MB |
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| 18. Our First GUI.mp4 | 49.6 MB |
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| 19. DEVELOPER FUNDAMENTALS IV.mp4 | 50.2 MB |
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| 20. Exercise Find Duplicates.mp4 | 20.3 MB |
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| 21. Functions.mp4 | 48.6 MB |
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| 22. Parameters and Arguments.mp4 | 23.1 MB |
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| 23. Default Parameters and Keyword Arguments.mp4 | 38.2 MB |
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| 24. return.mp4 | 63.0 MB |
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| 25. Exercise Tesla.html | 402 bytes |
| 26. Methods vs Functions.mp4 | 30.7 MB |
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| 30. Exercise Functions.mp4 | 21.8 MB |
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| 31. Scope.mp4 | 20.1 MB |
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| 32. Scope Rules.mp4 | 37.7 MB |
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| 41. List Comprehensions.mp4 | 53.3 MB |
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| 44. Python Exam Testing Your Understanding.html | 1.1 KB |
| 45. Modules in Python.mp4 | 82.2 MB |
| 45. Modules in Python.srt | 12.7 KB |
| 46. Quick Note Upcoming Videos.html | 448 bytes |
| 47. Optional PyCharm.mp4 | 53.1 MB |
| 47. Optional PyCharm.srt | 10.5 KB |
| 48. Packages in Python.mp4 | 72.4 MB |
| 48. Packages in Python.srt | 12.5 KB |
| 49. Different Ways To Import.mp4 | 48.0 MB |
| 49. Different Ways To Import.srt | 7.5 KB |
| 50. Next Steps.html | 959 bytes |
| 51. Bonus Resource Python Cheatsheet.html | 489 bytes |
| 1. Statistics and Mathematics.html | 710 bytes |
| 1. Become An Alumni.html | 944 bytes |
| 2. Thank You.mp4 | 11.1 MB |
| 2. Thank You.srt | 3.6 KB |
| 3. Course Review.html | 169 bytes |
| 4. The Final Challenge.html | 169 bytes |
| 1. Bonus Lecture.html | 3.3 KB |
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NOTE
SOURCE: Complete Machine Learning Data Science Bootcamp 2021
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