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

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

Date Created 2019-05-17 (5 years ago)

Commits 37 (last one 2 months ago)

Stargazers 296 (0 this week)

Watchers 33 (0 this week)

Forks 156

License apache-2.0

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RepositoryStats indexes 595,856 repositories, of these aws-solutions-library-samples/fraud-detection-using-machine-learning is ranked #136,020 (77th percentile) for total stargazers, and #66,144 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,023/17,543.

aws-solutions-library-samples/fraud-detection-using-machine-learning is also tagged with popular topics, for these it's ranked: deep-learning (#2,852/8512), machine-learning (#2,723/8063)

Other Information

aws-solutions-library-samples/fraud-detection-using-machine-learning has 1 open pull request on Github, 2 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 4 open issues and 5 closed issues.

Homepage URL: https://aws.amazon.com/solutions/guidance/fraud-detection-using-machine-learning-on-aws/

All Topics

xgboost sagemaker aws-sagemaker deep-learning fraud-detection machine-learning sagemaker-example

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updated: 2024-12-10 @ 10:07am, id: 187254530 / R_kgDOCylHAg