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20. Feature Importance.srt 17K
20. Feature Importance.mp4 142M
20.2 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html 214
20.1 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html 208
19. Making Predictions.srt 11K
19. Making Predictions.mp4 79M
18. Preproccessing Our Data.srt 18K
18. Preproccessing Our Data.mp4 139M
17. Improving Hyperparameters.srt 11K
17. Improving Hyperparameters.mp4 79M
16. RandomizedSearchCV.srt 13K
16. RandomizedSearchCV.mp4 86M
15. Reducing Data.srt 15K
15. Reducing Data.mp4 93M
14. Custom Evaluation Function.srt 16K
14. Custom Evaluation Function.mp4 103M
13. Challenge What's wrong with splitting data after filling it.html 1.5K
12. Splitting Data.srt 14K
12. Splitting Data.mp4 83M
11. Fitting A Machine Learning Model.srt 10K
11. Fitting A Machine Learning Model.mp4 56M
10. Filling Missing Categorical Values.srt 11K
10. Filling Missing Categorical Values.mp4 67M
9. Filling Missing Numerical Values.srt 17K
9. Filling Missing Numerical Values.mp4 106M
9.1 Pandas Categorical Datatype Documentation.html 143
8. Turning Data Into Numbers.srt 22K
8. Turning Data Into Numbers.mp4 146M
7. Feature Engineering.srt 22K
7. Feature Engineering.mp4 159M
6. Exploring Our Data 2.srt 8.6K
6. Exploring Our Data 2.mp4 52M
5. Exploring Our Data.srt 20K
5. Exploring Our Data.mp4 138M
4. Step 1~4 Framework Setup.srt 12K
4. Step 1~4 Framework Setup.mp4 86M
3. Project Environment Setup.srt 16K
3. Project Environment Setup.mp4 101M
2. Project Overview.srt 6.7K
2. Project Overview.mp4 33M
2.4 Structured Data Projects on GitHub.html 155
2.3 Kaggle Bluebook for Bulldozers Competition.html 118
2.2 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html 214
2.1 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html 208
1. Section Overview.srt 1.8K
1. Section Overview.mp4 9.0M