Linear Regression Project with scikit-learn

Overview

This project demonstrates the implementation of linear regression using the scikit-learn library in Python. Linear regression is a supervised learning algorithm that models the relationship between a dependent variable and one or more independent variables by fitting a linear equation to the observed data.

Requirements

Make sure you have the following dependencies installed:

1. Python (>=3.6)
2. NumPy
3. Matplotlib
4. Scikit-learn