Sports Popularity Forecast

📈 Time series forecasting for sports event popularity.

Key Features:

• Time series analysis using statistical methods.
• Predictive modeling for forecasting.
• Interactive visualizations.

Usage:

1. Prepare your sports viewership data.
2. Train forecasting models with provided notebooks.
3. Explore forecasted trends with visualizations.

Dependencies:

• Python 3.x
• Jupyter Notebooks
• NumPy, Pandas, Matplotlib, Scikit-Learn, Statsmodels

Contributing: Contributions are welcome! Open issues or pull requests to improve this project.

License: MIT License