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Part 02 · Machine Learning

Decision Trees and Random Forests

Decision treeGini & entropyBaggingRandom forest

A model you can read like a flowchart: how a tree picks its questions, why one tree overfits, and how a forest of noisy trees votes its way to a strong answer.

⏱ 1-2 hours · Station 9 of 92

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← Previous stopRegression and ClassificationNext stop →Clustering
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