A project for working with Major League Baseball (MLB) data and analytics.
This repository is currently under development.
This project aims to provide tools and utilities for analyzing MLB baseball data, including game statistics, player performance, team analytics, and more.
- MLB data collection and processing
- Game statistics analysis
- Player performance tracking
- Team analytics and comparisons
- Historical data visualization
- Real-time game updates
- Predictive modeling
- Python 3.x
- Data analysis libraries (pandas, numpy)
- Web scraping tools (requests, beautifulsoup4)
- Data visualization (matplotlib, seaborn)
- Database management (SQLite/PostgreSQL)
Once the project is set up, you'll be able to clone and install it:
git clone https://github.com/M-HamzaKhan/MLB.git
cd MLB
pip install -r requirements.txtUsage instructions will be added as the project develops.
# Example usage will be documented here
python main.pyThe project will utilize data from:
- MLB official statistics
- Baseball reference databases
- API endpoints
- Web scraping from authorized sources
Contributions, issues, and feature requests are welcome!
- Fork the project
- Create your feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Open a Pull Request
- Set up project structure
- Implement data collection module
- Create database schema
- Build analysis tools
- Add visualization features
- Write comprehensive tests
- Create documentation
This project is licensed under the MIT License - see the LICENSE file for details.
M. Hamza Khan
- GitHub: @M-HamzaKhan
- MLB for providing statistical data
- Baseball analytics community
- Open source contributors
For questions or suggestions, please open an issue in this repository.
⭐ Star this repo if you find it helpful!