This project demonstrates how to set up MLflow and run a small training job on a public dataset using pandas, numpy, and scikit-learn. It logs parameters, metrics, and a trained model into the local ...

Production-ready model serving backend using FastAPI and MLflow, with Gradio UI. Why FastAPI instead of Ray Serve? Railway has a PIDs (process IDs) limit that prevents Ray Serve from running properly.

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Anthony Battle is a CERTIFIED FINANCIAL PLANNER™ professional. He earned the Chartered ...