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.
