If you haven't read my post on linear regression I invite you to do so here, but basically it is a method for modelling the relationship between variables $X_i$ and a target feature $y$ in a linear model. This modelling is done through learning weights $\theta_i$ for each $X_i$ supposing that our model looks something like this:

What is regularization ?

How do we implement it in Python