Linear Regression on Boston Housing Dataset

In my previous blog, I covered the basics of linear regression and gradient descent. To get hands-on linear regression we will take an original dataset and apply the concepts that we have learned. We will take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library.