Ridge Regression, Lasso Regression, Elasticnet Regression, Machine Learning, Machinelearningalgorithms.
will be termed Overfitting. In this case, the model performs very well on training data but very poorly in Testing data. To neutralize or optimize this error, Regularization is done and thus helps in keeping the parameter regular or normal. So in this scenario, Regularization techniques come into