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https://github.com/build-on-aws/the-grad-project

This is the repository where you can download and run notebooks in SageMaker Studio Lab, in partnership with webinars taking place on YouTube.
https://github.com/build-on-aws/the-grad-project

data data-science python sql

Last synced: 7 months ago
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This is the repository where you can download and run notebooks in SageMaker Studio Lab, in partnership with webinars taking place on YouTube.

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## The Grad Project

This repository contains the links to code samples related to a series of video interviews conducted by AWS Developer Relations. Choose a notebook and open it in [SageMaker Studio Lab](https://studiolab.sagemaker.aws/), a free platform where you can run machine learning experiments. Note: it might take a few days for you to gain access to the Lab environment. Follow the notebook instructions for alternate paths to run the project.

![The Grad Project](/images/banner.png)

| Project Name | University | Investigators | Link |
|---|---|---|---|
| Using Python and Data Analytics to Combat Systemic Racism | MIT | Ben Lewis, Jessy Han | [link](https://github.com/benblewis/MIT_AWS_Demo) |
| Harnessing the Power of Text-to-SQL Machine Learning with Amazon SageMaker | Carnegie Mellon University | Vincent Xu | [link](https://github.com/vxcent/sagemaker_gap_demo/tree/main) |

## 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.