Linear-regression

Linear regression is one of the most basic and widely used algorithms in the machine learning world. It's a statistical method that allows us to understand the relationship between two continuous variables.

Ridge Regression, also known as Tikhonov regularization, is a type of linear regression that incorporates a regularization term. This regularization term discourages overly complex models which can lead to overfitting.