How Decision Trees Work Simplified Tutorial for Data Science | PART 2 | AI ML Course By Srinivasan R 

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In this video, we explore the Decision Tree algorithm, one of the most intuitive and powerful machine learning models. You'll learn how decision trees work, their key concepts like splitting criteria, entropy, and pruning, and when to use them in classification and regression tasks. We also walk you through a hands-on implementation in Python, making it easy to follow along whether you're new to machine learning or looking to enhance your skills.
🔍 What you'll learn:
What is a Decision Tree?
How Decision Trees make predictions
Key concepts: Splitting, Gini, Entropy, and Pruning
How to build and visualize Decision Trees in Python
Practical use cases and tips for optimizing your model
This tutorial is perfect for those interested in data science, AI, or just wanting to understand how machines make decisions. If you enjoy the content, don’t forget to like, share, and subscribe for more AI/ML tutorials.