procrasprincess / Championship-Formula

A championship forecast web app using regular season baseball data by David and Sarah

Championship Formula

{a championship forecast web app using regular season baseball data}
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🕹 Table of Content

1. About
   • Tech Stack
   • Features
2. Documentation
   • Setup
   • Development
3. Contributing
4. License

🌻 About

A web-based application that predicts World Series winners using machine learning and real-time data. By analyzing key baseball metrics and player statistics, it dynamically updates its forecasts throughout the season, providing fans and analysts with cutting-edge insights into potential championship outcomes.

🔧 Tech Stack

• Frontend
  • HTML: Structures the web content and layout
  • CSS: Styles the frontend, responsive and visually appealing
  • JavaScript: Enhances the interactivity
• Backend
  • Python: Primary for server-side logic
  • Flask: A WSGI web app framework
• Database
  • PostgreSQL: Object-relational database system
• Data Processing and Analysis
  • Spark: Provides fast and cluster-computing framework for processing large datasets
  • MLlib: Machine learning library used within Spark to perform data analytics and predictive modeling
• Data Sources
  • Pybaseball: Extracts seasonal and individual player statistics from various baseball databases
  • Lahman's Baseball Database: Offers comprehensive historical data on baseball for analysis
  • Statcast API: Delivers real-time baseball performance data

🍄 Features

• Dynamic Prediction Models: for updated forecasts continuously using real-time and historical data
• Rich Data Sources: uses multiple sources for comprehensive analytics
• CRUD Functionalities: enables robust data management with complete Create, Read, Update, and Delete capabilities.
• Modular Design: provides an architecture designed for maintainability and scalability

🌵 Documentation

🍯 Setup

source venv/bin/activate
pip3 install Flask pandas
python flask_app.py

🍎 Development

🌾 Contributing

Contributions are welcome! To contribute:

1. Fork the Project
2. Create your Branch (git checkout -b my-branch)
3. Commit your Changes (git commit -m 'add my contribution')
4. Push to the Branch (git push --set-upstream origin my-branch)
5. Open a Pull Request

📝 License

This project is licensed under the MIT License.