UkrainianEagleOwl / M3_H3

Predicting house prices using linear regression, demonstrating key machine learning concepts.

Linear Regression Analysis for House Pricing

Description

This repository contains a Python-based implementation of linear regression to predict house prices. It covers hypothesis functions, loss calculation, gradient descent, analytical solutions, and results comparison.

Files

• Hw3.ipynb: Jupyter Notebook with the implementation.
• Housing.csv: Dataset for the analysis.
• README.md: Overview and guide to the repository.

Usage

1. Clone the repository.
2. Install Python and Jupyter Notebook.
3. Open Hw3.ipynb in Jupyter.
4. Run the cells to see the implementation.

Contributions

Feedback and contributions are welcome. Feel free to fork, improve, and submit pull requests. Open an issue for questions or suggestions.

License

Open-source under [MIT License].