I start this video with a review of linear and logistic regression and explain the basic concepts behind gradient descent. I then talk about regularization using Lasso and Ridge Regression and the best use cases for these methods.

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Code Available Here and Data Available Here

Suggested Reading:

• Machine Learning with R, 3rd Edition, Chapter 6 (p. 167-216)
• Python Machine Learning, 3rd Edition, Chapter 4 (p. 127-135) and Chapter 10 (p. 315-350)
• Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition, Chapter 4 (p. 111-151)
• Linear Regression Explained
• Logistic Regression Explained