Deploying an ML Model with FastAPI + Docker (Hands-On MLOps) flow to deploy the Ml Model

Train a small ML model Expose it as an API Package it with Docker Run it like a real production service Step 1: Create a simple model and save it Create a file called train.py from sklearn.datasets import load_iris from sklearn.ensemble import ...