A simple tutorial on linear regression programming in python

It has three implementations,

• self-developed regression with cost function being MSE + weight-decay regularization;
  • gradient descent
  • stochastic gradient descent
• directly invocation of scikit-learn ridge regression function.

The example shows how to fit a line for 2D or a plane for 3D.