Book Content
chapters • 10h20m total length
1. Machine Learning Landscape
2. Decision Trees in Depth
3. Bagging with Random Forests
4. From Gradient Boosting to XGBoost
5. XGBoost Unveiled
6. XGBoost Hyperparameters
7. Discovering Exoplanets with XGBoost
8. XGBoost Alternative Base Learners
9. XGBoost Kaggle Masters
10. XGBoost Model Deployment
