Ensemble Learning — Bagging, Boosting, XGBoost, LightGBM, CatBoost, Stacking, Voting

XGBoost, LightGBM, Bagging, Stacking

Author: AI Learning Club Team · Difficulty: Intermediate · Duration: 2 hr 10 min · Modules: 25

Modules

1. Introduction to Ensemble Learning (5 min)
2. Bagging: The Basics (7 min)
3. Bagging: Advanced Techniques (7 min)
4. Boosting: The Basics (7 min)
5. AdaBoost: An Introduction (5 min)
6. Gradient Boosting: Fundamentals (5 min)
7. Gradient Boosting: Advanced Techniques (7 min)
8. XGBoost: Getting Started (7 min)
9. XGBoost: Tuning and Optimization (7 min)
10. LightGBM: Introduction and Setup (5 min)
11. LightGBM: Advanced Features (7 min)
12. CatBoost: Basics and Applications (7 min)
13. CatBoost: Advanced Techniques (7 min)
14. Stacking Ensembles: Basics (7 min)
15. Stacking Ensembles: Advanced Methods (7 min)
16. Voting Ensembles: Basics (7 min)
17. Voting Ensembles: Advanced Strategies (7 min)
18. Practical Applications of Ensemble Learning (7 min)
19. Ensemble Learning in Production (7 min)
20. Case Studies in Ensemble Learning (7 min)
21. Ensemble Learning Challenges and Solutions (7 min)
22. Future Trends in Ensemble Learning (7 min)
23. Project: Building an Ensemble Model (10 min)
24. Project: Ensemble Learning in Kaggle Competitions (10 min)
25. Resources & References (7 min)

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