Overfitting is one of the major problems while training our machine learning models. Overfitting means it is capturing each data point accurately in the training dataset which can result into the model’s inaccurate or low performance on an unseen dataset. This can easily be understood through below graph: As we move to the right in … Continue reading LASSO and RIDGE – Regularize your model to prevent Overfitting