This repository contains a simple lab or exercise for univariate linear regression with a single input variable. The notebook provides full instructions and code for implementing linear regression.
This exercise is part of a course on Coursera, specifically from the Andrew Ng's machine learning specializaion course. The purpose of this repository is to serve as a reference and guide for anyone interested in understanding and implementing univariate linear regression.
- Linear_Regression_Exercise.ipynb: This Jupyter Notebook contains the code and instructions for the univariate linear regression exercise (both pdf and notebook).
- Clone the repository to your local machine.
[https://github.com/WahabMam/Univariate_Linear_Regression/tree/main]
Feel free to refer to the original Coursera course for additional context and deeper understanding. Course: [Machine Learning by Andrew Ng on Coursera]
This exercise and notebook are derived from a Coursera course by Andrew Ng. Please refer to Coursera for comprehensive learning and official course materials.