Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to fit our model to the data set. Gradient Descent finds the minima of cost function, ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...