Fundamentals of Machine Learning - Ridge

The video tutorial covers Ridge regression, a key technique in linear regression for feature selection and regularization. It begins with an introduction to Ridge regression, followed by data preparation and cleaning using a New York City real estate dataset. The tutorial then explains data transformation techniques, including one-hot encoding, to make the data machine-readable. Feature analysis is conducted to identify significant features, and Ridge regression is implemented using scikit-learn. The session concludes with a discussion on model evaluation and a homework assignment to reinforce learning.

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