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Sample use-case tutorials

These Feast tutorials showcase how to use Feast to simplify end to end model training / serving.

Driver ranking Fraud detection on GCP Real-time credit scoring on AWS Driver stats on Snowflake

Driver ranking

Making a prediction using a linear regression model is a common use case in ML. This model predicts if a driver will complete a trip based on features ingested into Feast.

In this example, you'll learn how to use some of the key functionality in Feast. The tutorial runs in both local mode and on the Google Cloud Platform (GCP). For GCP, you must have access to a GCP project already, including read and write permissions to BigQuery.

Try it and let us know what you think!