Machine Learning
Intermediate
Pro
Decision Trees
How tree-based models split data and make decisions
20 min read
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1 enrolled
Learn how decision trees partition feature space using impurity measures, how recursive binary splitting works, which hyperparameters control overfitting, and how feature importance is calculated — the foundation for understanding gradient boosting models like LightGBM and XGBoost.