Decision Tree in Machine Learning – Full Math & Statistics Explained Step by Step

In this video, we explain the Decision Tree Machine Learning algorithm in a complete and practical way with detailed mathematics and statistics. This tutorial covers how Decision Trees work internally, including: ✔ Entropy and Information Gain ✔ Gini Index and Variance Reduction ✔ Decision Tree Classifier vs Regressor ✔ Splitting criteria explained mathematically ✔ Overfitting and pruning concepts ✔ Real-world examples with step-by-step explanation This video is perfect for: - Machine Learning beginners - Data Science students - Interview preparation (ML / AI roles) - Anyone who wants to understand Decision Trees from scratch 📬 CONNECT WITH ME: LinkedIn: www.linkedin.com/in/vivekpol Twitter: https://x.com/polvivek77 🔔 Subscribe and hit the bell icon to get new project videos every week. Business enquiries: [email protected] #DecisionTree #MachineLearning #DataScience #MLAlgorithms #ai #DecisionTree #MachineLearning #DataScience #MLAlgorithms #ArtificialIntelligence