14. Ridge Regression Explained from Scratch | L2 Regularization | Lambda Intuition with Graphs

Ridge Regression is one of the most important regularization techniques in Machine Learning.
In this video, you’ll learn Ridge Regression from scratch with clear intuition, graphs, math, and Python implementation.

We explain:
• Why Linear Regression overfits
• What Ridge Regression is
• Role of lambda (λ)
• Relationship between lambda and slope square
• Cost function vs theta graph
• Bias–variance tradeoff
• Ridge vs Lasso
• Ridge Regression implementation in Python

This video is perfect for Machine Learning beginners, data science students, and interview preparation.

If you want a clear and visual explanation of L2 regularization, this video will make everything click.

📌 Watch till the end for full intuition and coding demo.
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