Tree-Based Models
Decision trees, Random Forests, gradient boosting, and splitting criteria.
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Tree-Based Models
5 lessons · Read before practicing
Decision trees
- 1Decision Tree Prediction MechanismEasy
- 2Decision Tree Depth and OverfittingEasy
- 3Full-Depth Tree Bias and VarianceEasy
- 4Purity of Decision Tree SplitsMed
- 5Continuous Feature Splits in Decision TreesMed
- 6Decision Tree AdvantagesMed
- 7Decision Tree Regression PredictionsMed
- 8Monotonic Invariance of Decision TreesHard
- 9High-Cardinality Bias in Decision TreesHard
- 10Gini vs Entropy in PracticeHard