Zaya's Machine Learning Notes - Decision Tree

Navigate the logic of Decision Trees with Zaya's Machine Learning Notes! In this episode, we unravel one of the most intuitive and widely used algorithms for both classification and regression tasks. Learn how Decision Trees work by recursively splitting data based on features, creating a tree-like model that mirrors human decision-making. We'll cover key concepts like impurity measures (Gini impurity, entropy), pruning techniques, and how to interpret the results of a Decision Tree. Whether you're a beginner in machine learning or looking to deepen your understanding of interpretable models, this video provides a clear, step-by-step guide to mastering Decision Trees and their practical applications.

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