# 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.
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