Machine Learning with Tree-Based Models in Python
Elie Kawerk
Data Scientist
Chapter 1: Decision-Tree Learning
Chapter 2: Generalization Error, Cross-Validation, Ensembling
Chapter 3: Bagging and Random Forests
Chapter 4: AdaBoost and Gradient-Boosting
Chapter 5: Model Tuning
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