Machine Learning Tutorial Chap 5| Part-3 L2 Regularization in Machine Learning | GreyAtom

Welcome to the #DataScienceFridays Rohit Ghosh, a deep learning scientist, and an Instructor at GreyAtom will take us through polynomial regression in machine learning through a simple introduction series. Regularization is a way to avoid overfitting by penalizing high-valued regression coefficients. In simple terms, it reduces parameters and shrinks (simplifies) the model. This more streamlined, more parsimonious model will likely perform better at predictions. Regularization adds penalties to more compl