# aws-solutions-library-samples/fraud-detection-using-machine-learning

<https://repo.masters-masters.com/en/repos/aws-solutions-library-samples/fraud-detection-using-machine-learning>

[Home](https://repo.masters-masters.com/en) › [aws-solutions-library-samples](https://repo.masters-masters.com/en/owners/aws-solutions-library-samples) › [fraud-detection-using-machine-learning](https://repo.masters-masters.com/en/repos/aws-solutions-library-samples/fraud-detection-using-machine-learning)

aws-solutions-library-samples/fraud-detection-using-machine-learning has 342 stars on GitHub. Its RepoMasters card: Alpha tier. Setup end to end demo…

| Field | Value |
| --- | --- |
| Owner | [aws-solutions-library-samples](https://repo.masters-masters.com/en/owners/aws-solutions-library-samples) |
| Stars | 342 |
| Forks | 167 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2019 |
| Topics | fraud-detection, sagemaker, aws-sagemaker, sagemaker-example, machine-learning, deep-learning, xgboost |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [aws-solutions-library-samples/fraud-detection-using-machine-learning](https://github.com/aws-solutions-library-samples/fraud-detection-using-machine-learning) |

## Repository

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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