Model deployment with FastAPI and Docker

The ability to operationalize a machine-learning model is just as important as the model itself. In this project I demonstrate how a trained XGBoost classifier is (1) served via an API with FastAPI and (2) containerized with Docker and (3) deployed to Google Cloud Platform (Cloud Run).