Building a Model Prediction Server

Learn how to build a working FastAPI application to serve predictions from a trained scikit-learn model in real-time. This 1 hour 45 minute tutorial, presented at PyCon US, guides you through the process of creating a production-ready API for delivering model predictions to other systems. Gain hands-on experience in API development as you transform a trained predictive model into a functional server application. Suitable for those with no prior API development experience, explore the crucial steps beyond model training to effectively deploy and serve machine learning models in production environments.

Tutorials - Ethan Swan: Building a Model Prediction Server