Heart Disease MLOps — MLflow + Streamlit Deployment
A full MLOps cycle — dataset → MLflow-tracked experiments → production registry → Streamlit deployment in two patterns (embedded vs. API-backed).
A full MLOps cycle — dataset → MLflow-tracked experiments → production registry → Streamlit deployment in two patterns (embedded vs. API-backed).
Full-stack data pipeline that ingests Garmin wearable data (25+ endpoints), computes training analytics, and serves personalized AI coaching via a Streamlit web app.