In this session, we explore powerful techniques to improve machine learning models and prevent overfitting. Designed for Persian-speaking students and teens, this video breaks down complex ideas into simple, visual explanations. Topics Covered: Ways to overcome overfitting Bias vs variance — explained simply What are ensemble methods? Bagging vs Boosting Boosting to fix underfitting Types of boosting algorithms What is stacking? Stacking vs Boosting Final comparison of ensemble learning methods Learn through analogies, diagrams, and clear language — perfect for beginners and educators. Subscribe for more Persian ML tutorials and share with friends who want to learn machine learning the easy way!

overfitting,underfitting,AdaBoost,Random Forest,StackingClassifier