Polynomial Regression in Machine Learning

Polynomial Regression is one of the important parts of Machine Learning. Polynomial Regression is a regression algorithm that frames a relationship between the independent variable(x) and dependent variable(y) as nth degree polynomial. Basically, it brings forth the finest estimation for dependent and independent variables. To convert the multiple linear regression into polynomial regression we need to add some polynomial terms. It acts as a saver when we have to deal with a dataset that is not linearly separable.