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 5 months ago)
Stargazers 309 (0 this week)
Watchers 34 (0 this week)
Forks 156
License apache-2.0
Ranking

RepositoryStats indexes 630,459 repositories, of these aws-solutions-library-samples/fraud-detection-using-machine-learning is ranked #136,584 (78th percentile) for total stargazers, and #63,211 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,070/18,993.

aws-solutions-library-samples/fraud-detection-using-machine-learning is also tagged with popular topics, for these it's ranked: deep-learning (#2,839/8797),  machine-learning (#2,733/8383)

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/

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updated: 2025-03-21 @ 06:02pm, id: 187254530 / R_kgDOCylHAg