Linear Regression from Scratch

🔍 Overview

This repository demonstrates the implementation of a simple linear regression model using Python. The model predicts a student's score based on the number of hours studied, utilizing a dataset that correlates study time with exam scores.

---

📂 Repository Structure

The repository contains the following files:

• linear_regression.py: Python script implementing the linear regression model.
• studytime_score_data.csv: Dataset containing study hours and corresponding scores.
• README.md: Documentation providing an overview and instructions.

---

🚀 Getting Started

To run the linear regression model:

1. Clone the repository:

   git clone https://github.com/adheesh101/Linear-Regression.git
   

2. Navigate to the project directory:

   cd Linear-Regression
   

3. Run the Python script:

   python linear_regression.py
   

🤝 Contribution

Contributions are welcome! If you have suggestions, improvements, or new content to add, feel free to fork the repository and submit a pull request.

---

📜 License

This project is licensed under the MIT License.

---

Crafted with curiosity and code by Adheesh Soni.