In predictive modeling, training a model is only half the battle; predictions typically need to be “served” to other systems in production via an API or similar interface. In this tutorial we’ll start with a trained scikit-learn model and build a working FastAPI application to deliver its predictions in realtime. No prior experience with API development is expected.
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