🔍 Machine Learning Tutorial 9: Understanding Decision Trees| Classification Made Simple 🌳
Welcome to our in-depth guide on Decision Tree Classification, one of the most popular and intuitive algorithms in machine learning! 🎓
In this video, we’ll cover:
✅ What is a Decision Tree?
✅ Key components: Root nodes, branches, internal nodes, and leaf nodes.
✅ How decision trees work for classification tasks.
✅ Key concepts like Gini Impurity, Information Gain, and Splitting Criteria.
✅ Advantages, disadvantages, and real-world applications.
🌟 Whether you're a beginner or brushing up on your ML concepts, this video breaks down complex ideas into simple, relatable examples.
🔔 Don’t forget to like, comment, and subscribe for more machine learning tutorials and insights!
#MachineLearning #DecisionTree #DataScience #AI #Classification #MLAlgorithm
