This repository contains all the codes used as examples for the book Practical Gradient Boosting: https://www.amazon.com/dp/B0BJ82S916
The book is organized as follows:
- ch2: Gradient Boosted Trees: Under the hood
- ch3: Train a model efficiently
- ch4: Understanding and explaining a model
- ch5: Hyper Parameters Tuning
- ch6: Objective functions
- ch7: Time series
- ch8: XGBoost, LightGBM, or Catboost, to choose?
- ch9: Multi-model approach