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- - german_credit_test.csv
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- - MLA-RESML-DAY1-FINAL-STUDENT-NB-SOLUTION.ipynb
  - MLA-RESML-DAY1-FINAL-STUDENT-NB.ipynb
  - MLA-RESML-EDA.ipynb
- - MLA-RESML-DATAPREP.ipynb
  - MLA-RESML-DAY2-FINAL-STUDENT-NB-SOLUTION.ipynb
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  - MLA-RESML-DI.ipynb
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- - MLA-RESML-DAY3-FINAL-STUDENT-NB-SOLUTION.ipynb
  - MLA-RESML-DAY3-FINAL-STUDENT-NB.ipynb
  - MLA-RESML-ODDS.ipynb
  - MLA-RESML-SHAP.ipynb
- MLU-RAI-DAY1.pdf
- MLU-RAI-DAY2.pdf
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![logo](https://raw.githubusercontent.com/aws-samples/aws-machine-learning-university-responsible-ai/main/data/MLU_Logo.png)
## Machine Learning University: Responsible AI

This repository contains __slides__, __notebooks__, and __data__ for the __Machine Learning University (MLU) Responsible AI__ class. Our mission is to make Machine Learning accessible to everyone. We have courses available across many topics of machine learning and believe knowledge of ML can be a key enabler for success. This class is designed to help you get started with Responsible AI, learn about widely used Machine Learning techniques, and apply them to real-world problems.

## YouTube
Watch all Responsible AI video recordings in this [YouTube playlist](https://www.youtube.com/playlist?list=PL8P_Z6C4GcuVMxhwT9JO_nKuW0QMSJ-cZ) from our [YouTube channel](https://www.youtube.com/channel/UC12LqyqTQYbXatYS9AA7Nuw/playlists).

## Course Overview
There are three lectures and one final project for this class.

__Lecture 1__
| Title | Studio lab |
| :---: | ---: |
| Exploratory Data Analysis| [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-responsible-ai/blob/master/notebooks/day_1/MLA-RESML-EDA.ipynb)|
| Final Challenge Day 1| [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-responsible-ai/blob/master/notebooks/day_1/MLA-RESML-DAY1-FINAL-STUDENT-NB.ipynb)|
| Completed Final Challenge Day 1| [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-responsible-ai/blob/master/notebooks/day_1/MLA-RESML-DAY1-FINAL-STUDENT-NB-SOLUTION.ipynb)|

__Lecture 2__
| Title | Studio lab |
| :---: | ---: |
| Data Preparation| [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-responsible-ai/blob/master/notebooks/day_2/MLA-RESML-DATAPREP.ipynb)|
| Disparate Impact| [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-responsible-ai/blob/master/notebooks/day_2/MLA-RESML-DI.ipynb)|
| Logistic Regression| [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-responsible-ai/blob/master/notebooks/day_2/MLA-RESML-LOGREG.ipynb)|
| Final Challenge Day 2| [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-responsible-ai/blob/master/notebooks/day_2/MLA-RESML-DAY2-FINAL-STUDENT-NB.ipynb)|
| Completed Final Challenge Day 2| [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-responsible-ai/blob/master/notebooks/day_2/MLA-RESML-DAY2-FINAL-STUDENT-NB-SOLUTION.ipynb)|

__Lecture 3__
| Title | Studio lab |
| :---: | ---: |
| Equalized Odds| [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-responsible-ai/blob/master/notebooks/day_2/MLA-RESML-ODDS.ipynb)|
| SHAP| [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-responsible-ai/blob/master/notebooks/day_2/MLA-RESML-SHAP.ipynb)|
| Final Challenge Day 3| [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-responsible-ai/blob/master/notebooks/day_2/MLA-RESML-DAY3-FINAL-STUDENT-NB.ipynb)|
| Completed Final Challenge Day 3| [![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-responsible-ai/blob/master/notebooks/day_2/MLA-RESML-DAY3-FINAL-STUDENT-NB-SOLUTION.ipynb)|

__Final Project:__ Practice working with a "real-world" dataset for the final project. Final project dataset is in the [data/final_project folder](https://github.com/aws-samples/aws-machine-learning-university-responsible-ai/tree/master/data/final_project). For more details on the final project, check out [this notebook](https://github.com/aws-samples/aws-machine-learning-university-responsible-ai/blob/main/notebooks/day_1/MLA-RESML-DAY1-FINAL-STUDENT-NB.ipynb).

## Interactives/Visuals
Interested in visual, interactive explanations of core machine learning concepts? Check out our [MLU-Explain articles](https://mlu-explain.github.io/) to learn at your own pace! Relevant for this class is this article on [Equality of Odds](https://mlu-explain.github.io/equality-of-odds/).

## Contribute
If you would like to contribute to the project, see [CONTRIBUTING](CONTRIBUTING.md) for more information.

## License
The license for this repository depends on the section.  Data set for the course is being provided to you by permission of Amazon and is subject to the terms of the [Amazon License and Access](https://www.amazon.com/gp/help/customer/display.html?nodeId=201909000). You are expressly prohibited from copying, modifying, selling, exporting or using this data set in any way other than for the purpose of completing this course. The lecture slides are released under the CC-BY-SA-4.0 License.  This project is licensed under the Apache-2.0 License. See each section's LICENSE file for details.