Implementation of Polynomial Regression

In this project, you will learn how to implement polynomial regression using the method of least squares. Polynomial regression is a fundamental machine learning technique used to fit a polynomial function to a set of data points. This project will guide you through the process of loading and preprocessing the data, creating the Vandermonde matrix, and solving the polynomial regression problem using the least squares method.