Machine Learning with Ridge and Lasso Regression

with Ivan Manov
Ridge and Lasso Regressions are machine learning algorithms with an integrated regularization functionality. Built upon the essentials of Linear regression with an additional penalty term, they serve as a calibrating tool for preventing overfitting. In this practical course, you will learn how to apply Ridge and Lasso Regression in Python and determine which of the two would be the best choice for a particular dataset.

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