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Decision Trees & Random Forests Explained — Overfitting, Bagging & Features | Master AI & ML E:13
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Decision trees are the most interpretable ML algorithm — and the most dangerous if left unchecked. In this episode we build a decision tree live using the Telco Churn dataset, see exactly why it overfits, then watch how random forests fix that problem through bagging and feature randomness. In this episode: → How a decision tree splits data ...
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