Ordinary Least Squares in Python

# Introduction

In this project, you will learn how to implement the Ordinary Least Squares (OLS) method in Python. OLS is a fundamental mathematical optimization technique used in machine learning, particularly in linear regression problems.

## 🎯 Tasks

In this project, you will learn:

- How to implement the OLS function to calculate the slope (w1) and intercept (w0) of a linear equation based on sample data.
- How to test the OLS function with sample data and verify the correctness of the results.

## 🏆 Achievements

After completing this project, you will be able to:

- Derive the OLS formulas for calculating the slope and intercept of a linear equation.
- Implement the OLS function in Python without using any external libraries.
- Test and validate the OLS function with sample data.
- Understand the importance of the OLS method in machine learning and linear regression problems.