Predictive Housing Price

Description

This project aims to predict housing prices using machine learning models such as linear regression and random forest.

Dataset

Data retrieved from Kaggle, accessible here.

Technologies Used

The analyses were conducted using the following technologies:

• Python
• Jupyter Notebook
• NumPy
• pandas

Contributing

Everyone is welcome to contribute by proposing changes and upgrades to the project. To contribute:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/improvement).
3. Make your changes.
4. Commit your changes (git commit -am 'feat: Add new feature').
5. Push to the branch (git push origin feature/improvement).
6. Create a new Pull Request.

Please ensure your Pull Request follows our guidelines and conventions. We strive to maintain a welcoming and inclusive environment for all contributors.

Author

• Guilherme Sebastião