Ensemble Methods: Random Forests, Gradient Boosting, and Stacking Explained

TLDR: 🌲 Ensemble methods combine multiple "weak" learners to create stronger predictors. Random Forest uses bootstrap sampling + feature randomization. Gradient Boosting sequentially corrects errors. Stacking uses a meta-learner on top. Often outper...