This post explores feature scaling, polynomial features and hypothesis evaluation for linear regression in Scikit-Learn.

This post implements a linear regression algorithm in Scikit-Learn and Tensorflow.

This post applies the linear regression theory to a multi-input linear case from scratch in Numpy.

This post applies the linear regression theory to a single-input case from scratch in Numpy.

This post introduces the linear regression as the "hello-world" machine learning problem.