Bagging & Random Forests — Roadmap Step & Resources
Training many trees on bootstrapped samples and averaging their predictions
- Level: intermediate
- Estimated time: 1 days
- Roadmap: Machine Learning
Interview questions
- How does bagging reduce variance compared to a single decision tree?
Study resources
- Random Forests, Clearly Explained!!! (Video) — StatQuest's widely-loved, multi-part explanation of bagging and random forests.
- Random Forests (Article) — The official scikit-learn documentation for random forest ensembles.
Part of
- Ensemble Methods — section
- Machine Learning roadmap — the full learning path