Spaces:
Sleeping
Sleeping
| title: Data Sheets | |
| emoji: 🚀 | |
| colorFrom: red | |
| colorTo: red | |
| sdk: docker | |
| app_port: 8501 | |
| tags: | |
| - streamlit | |
| pinned: false | |
| short_description: Streamlit template space | |
| # Advanced Time Series Forecasting | |
| A comprehensive forecasting system with advanced features including deep learning models, automated feature engineering, and AI-powered insights. | |
| ## Features | |
| - **Multiple Forecasting Models**: LSTM, Prophet, and ARIMA | |
| - **Advanced Feature Engineering**: Automated feature extraction, lag features, rolling statistics | |
| - **GenAI Integration**: AI-powered interpretation and business recommendations (requires OpenAI API key) | |
| - **Interactive Visualization**: Plotly charts for data exploration and forecast visualization | |
| - **Streamlit Interface**: User-friendly web application | |
| ## How to Use | |
| 1. **Data Input**: Use the example data or upload your own CSV file | |
| 2. **Feature Engineering**: Generate advanced features with a single click | |
| 3. **Model Training**: Select and train forecasting models | |
| 4. **Forecasting**: Generate and visualize forecasts | |
| 5. **AI Insights**: Get AI-powered interpretations and recommendations | |
| ## Installation for Local Development | |
| 1. Clone the repository: | |
| ```bash | |
| git clone https://huggingface.co/spaces/your-username/forecasting-project | |
| cd forecasting-project | |
| # Welcome to Streamlit! | |
| Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart: | |
| If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community | |
| forums](https://discuss.streamlit.io). | |