Data Science & ML track

Decision Trees

Splitting criteria, pruning, overfitting and tree interpretation.

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1

Decision Trees Overview

Concept · Hands-on lab included

2

How Splits Work: Gini, Entropy and Information Gain

Concept · Hands-on lab included

3

Tree Stopping and Pruning

Concept · Hands-on lab included

4

Interpretability and Visualization

Concept · Hands-on lab included

5

Decision Tree Overfitting

Concept · Hands-on lab included

6

When to Use Decision Trees

Concept · Hands-on lab included

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