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Practical XGBoost in Python
Introduction
What you will learn (1:24)
Getting rocket off the ground (2:41)
Basics
Boosting - wisdom of the crowd (12:13)
Parameters cheat-sheet
Using standard interface (4:07)
Using Scikit-learn interface (2:15)
Going deeper
Spotting most important features (4:00)
Bias/variance tradeoff (6:05)
Hyperparameter tuning (4:21)
Evaluate results (4:54)
Deal with missing values (2:33)
Handle imbalanced dataset (5:09)
End notes
Thank you
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Getting rocket off the ground
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