adzuki1 / linear-regression

The script generates random data, fits a linear regression model using the normal equation, and visualizes the original data points along with the regression line using Matplotlib.

Linear Regression Modeling with Synthetic Data

Description

This Python project implements a simple linear regression model using fake data generated with NumPy. The script generates random data, fits a linear regression model using the normal equation, and visualizes the original data points along with the regression line using Matplotlib.

Overview

This project serves as a foundational example for understanding linear regression modeling. It generates synthetic data, trains a linear regression model, and visualizes the results using Matplotlib. The code is modularized for better organization and readability.

How to Use

1. Clone the repository:

   git clone https://github.com/yourusername/linear-regression.git
   

2. Navigate to the project directory:

    cd linear-regression
   

3. Dependencies:

    pip install -r requirements.txt
   

to install libraries

    NumPy
    Matplotlib

4. Run the script:

    python3 script.py