README.md

metadata

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:

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).