Last time I talked about Simple Linear Regression which is when we predict a y value given a single feature variable x. However data is rarely that simple and we often can have many variables we can ...

Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https: ... A simple implementation of multivariate linear regression using ...

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, ...