ML Decision Trees and Random Forests
How decision trees work, why a single tree overfits, and how random forests solve that problem by averaging many trees trained on different data.
·4 min read · #machine-learning#decision-trees#random-forests
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How decision trees work, why a single tree overfits, and how random forests solve that problem by averaging many trees trained on different data.
A working introduction to decision trees in scikit-learn covering splitting criteria, overfitting, max_depth tuning, visualization, and the path to random forests.