# Tutorials

- [Sample use-case tutorials](https://docs.feast.dev/v0.42-branch/tutorials/tutorials-overview.md)
- [Driver ranking](https://docs.feast.dev/v0.42-branch/tutorials/tutorials-overview/driver-ranking-with-feast.md): 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.
- [Fraud detection on GCP](https://docs.feast.dev/v0.42-branch/tutorials/tutorials-overview/fraud-detection.md): A common use case in machine learning, this tutorial is an end-to-end, production-ready fraud prediction system. It predicts in real-time whether a transaction made by a user is fraudulent.
- [Real-time credit scoring on AWS](https://docs.feast.dev/v0.42-branch/tutorials/tutorials-overview/real-time-credit-scoring-on-aws.md): Credit scoring models are used to approve or reject loan applications. In this tutorial we will build a real-time credit scoring system on AWS.
- [Driver stats on Snowflake](https://docs.feast.dev/v0.42-branch/tutorials/tutorials-overview/driver-stats-on-snowflake.md): Initial demonstration of Snowflake as an offline+online store with Feast, using the Snowflake demo template.
- [Validating historical features with Great Expectations](https://docs.feast.dev/v0.42-branch/tutorials/validating-historical-features.md)
- [Building streaming features](https://docs.feast.dev/v0.42-branch/tutorials/building-streaming-features.md)


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.feast.dev/v0.42-branch/tutorials.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.