Build a simple FastAPI app that serves predictions from a machine learning classifier trained on the Heart Disease Dataset, Dockerize it, and deploy to Render (or any cloud host of your choice). Focus on Docker and deployment, not on achieving high accuracy.
Train a classification model to predict if a patient has diabetes, deploy an API using FastAPI with async, containerize it using Docker, host on Render, and build a simple frontend to take user input and display prediction.