Ordinary Least Squares in Python

Beginner

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.

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.

Teacher

labby

Labby

Labby is the LabEx teacher.