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Overfitting vs Underfitting Explained Simply | Machine Learning Basics #vstechhorizon #ai #robotics

Overfitting and Underfitting are two of the most important concepts in Machine Learning that every beginner must understand.

In this video, we explain overfitting and underfitting in a simple and clear way with examples, so you can understand how machine learning models actually learn and where they fail.

This video is perfect for:
• Students learning Machine Learning
• Beginners in AI & Data Science
• Anyone confused about model performance

Topics covered in this video:
• What is Underfitting
• What is Overfitting
• Difference between Overfitting and Underfitting
• Real-world examples
• Why models fail to generalize
• Basic idea of how to fix them

By the end of this video, you will clearly understand how to identify and avoid overfitting and underfitting in your ML models.
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