This project demonstrates how to take a machine learning model from development to production deployment. It uses PyTorch or scikit-learn for model training, wraps it in a REST API, and packages everything with Docker for portability and scalability.
Teck stack: PyTorch · Scikit-Learn · REST APIs · Docker Products