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sustainable-energy

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This project demonstrates a complete pipeline for building a machine learning model using XGBoost on sustainable energy data, integrated with a FastAPI-based REST API. The application allows users to upload data, train the model, and make predictions via API endpoints. Docker and PostgreSQL are used for containerization and data management.

  • Updated Sep 15, 2024
  • Jupyter Notebook

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