Machine Learning 7, Decision Tree Using Python

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🎓 Decision Trees Using Python

Welcome to Session 7 of our Machine Learning course!
In this video, we focus on one of the most critical topics in classification: Decision Trees — with a deep dive into the Gini Index, Entropy, and Information Gain.

🧠 What you’ll learn in this session:

What is the Gini Index and how it’s used in decision trees

Step-by-step calculation of Entropy and Information Gain

Real-world example: Predicting "Play Golf"

How to split nodes based on conditions like Outlook, Humidity, Wind, and Temperature

Full implementation of a decision tree in Python, explained with Arabic comments
Link for the challenge's files:

Ali’s channel

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