Ridge Regression | Tikhonov Regularization | Machine Learning with TensorFlow & scikit-learn #10

📚About This lecture introduces Ridge Regression, which is a natural extension of the popular Linear Regression. It adds a penalty term onto the mean-squared-error cost in order to restrict the weight vector theta. Python implementations are done on Jupyter notebook. ⏲Outline⏲ 00:00 Introduction 05:30 Ridge Regression on Python 17:22 Ridge Regression using SGDRegressor() 🔴 Subscribe for more videos on Machine Learning and Python. 👍 Smash that like button, in case you find this tutorial useful. 👁‍🗨 Speak u