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https://github.com/build-on-aws/recommendation-engine-full-stack

Full Stack Tutorial for building recommendation engine for a streaming platform clone.
https://github.com/build-on-aws/recommendation-engine-full-stack

amazon-sagemaker chalice machine-learning python

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Full Stack Tutorial for building recommendation engine for a streaming platform clone.

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## Full Stack Recommendation Engine

Sample code repo that forms the base of the following tutorial:
* [Build Your Own Recommendation Engine for a Streaming Platform Clone on AWS: A Full Stack Tutorial](https://buildon.aws/tutorials/recommendation-engine-full-stack)
* Detailed setup and steps are provided in the tutorial.
* Explanation of the folders that you see in this repo
* infrastructure folder
* Cloudformation tenplates that build teh resources for the tutorial
* data folder
* Contains the python notebook, the raw csv movie files , kmeans output from previous iterations to save time and the localui folder has the User Interface for our fancy MyFlix UI
* sagemaker-migration-toolkit
* Utility code to make deployment of custom scaling model on sagemaker easier
* apis_for_sagemaker_models
* There are 2 folders containing the snippets of code for creating our REST API using the [Chalice framework](https://github.com/aws/chalice)

## Security

See [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more information.

## License

This library is licensed under the MIT-0 License. See the LICENSE file.