Online data science courses to jumpstart your future. Online data science courses to jumpstart your future.
Here is a complete tutorial on the regularization techniques of ridge and lasso regression to prevent overfitting in prediction in python

Ridge and Lasso regression are powerful techniques generally used for creating parsimonious models in presence of a ‘large’ number of features. Here ‘large’ can typically mean either of two things:

Large enough to enhance the tendency of a model to overfit (as low as 10 variables might cause overfitting)
Large enough to cause computational challenges. With modern systems, this situation might arise in case of millions or billions of features
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