AI, Machine Learning, Ridge Regression, Data Science, Programming.
for those input variables that do not contribute to the prediction. It is a method in which the model is adjusted in such a way that it helps in analyzing data that faces problems due to multicollinearity. Here L2 regularization method is performed. Ridge Regression is one of the popular methods.