Lecture 5 - Decision Tree скачать в хорошем качестве

Lecture 5 - Decision Tree

For a better experience, watch this video at 1.5× speed. In this video, I explain the Decision Tree algorithm in simple and easy words. This session is perfect for beginners who want to understand how Decision Trees work in Machine Learning. In this video, you will learn: What a Decision Tree is and why it is a non-linear model The hierarchical tree structure of a Decision Tree Difference between classification and regression Root node, internal nodes, and leaf nodes How a model decides where to split the data Concepts of Gini Index and Entropy (Information Gain) How important features are selected A simple real-world example for better understanding Objectives of Decision Trees: Reducing uncertainty Creating clear decision rules Improving prediction accuracy #MachineLearning #DecisionTree #MLForBeginners #DataScience #ArtificialIntelligence #Classification #Regression #GiniIndex #Entropy #InformationGain #AIConcepts #LearnMachineLearning #MLTutorial