Regression

Regression is the task of generating a formula to find a best-fit line through a set of data points to predict unknown values. This task is performed by Regression Models.

Notes:

• They can only be used to solve regression-based problems where a relationship between the dependent variables() and independent variables() must exist.
• Regression is not robust in handling Outliers and is also prone to Overfitting. to address overfitting in Linear Regression, Regularization is used.