Tree-based methods

• Entropy in decision trees
• Intuition behind Shannon entropy
• Explaining feature importance
• catboost for gradient boosting decision trees
• catboost docs
• Understanding decision trees
• Random Forest interpretability
• catboost for model interpretation
• Visualize bagging effect on bias and variance
• How to draw decision trees
• Decision trees code
• Why you should learn catboost
• Intuition behind xgboost
• Tree boosted mixed models
• Random Forest in ML
• Multiple imputation with Random Forest
• Ensemble learning
• Decision tree and overfitting
• From boosting to gradient boosting
• Decision trees and lookahead strategy
• AdaBoost mathematical approach
• How to visualize Decision trees
• Random Forest vs Gradient Boosting
• Why bagging works
• Gradient boosted trees explained
• Maths and viz of Gradient Boosting
• Intuitive explanation of entropy