reg_linear_closed_solution

This directory contains the implementation of linear regression using the closed-form solution.

main.py

This script performs the following tasks:

1. Loads the California housing dataset.
2. Extracts the first feature and the target variable.
3. Plots the data points.
4. Computes the linear regression coefficients using the closed-form solution.
5. Plots the regression line.

Requirements

• numpy
• matplotlib
• scikit-learn

You can install the required packages using the following command: