Resume of Regularized Linear Models

A good way to reduce overfitting is to regularize the model, which means the fewer degrees of freedom it has, the harder it will be for it to overfit the data. For a linear model, regularization is achieved by constraining the weights of the model. In this blog, I will talk about how to constrain the weights of Ridge Regression, Lasso Regression...

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