Polynomial regression use when your data is more complex that a simple straight line. You can fit a linear model on a nonlinear data by adding powers of each feature as new features then train a linear model on this extended set of features.

Linear Regression As a ML Practitioner, mainly the first thing to do is to frame the problem you are gonna work on, This will helps you to decide which algorithm to select and what performance measure you will us to evaluate your model and how much effort you should spend…