📈 Time series forecasting for sports event popularity.
Key Features:
- Time series analysis using statistical methods.
- Predictive modeling for forecasting.
- Interactive visualizations.
Usage:
- Prepare your sports viewership data.
- Train forecasting models with provided notebooks.
- 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
