Case Study Fraud Detection
Fraud Case Study Challenge: Given historical data, create a web based front-end with machine learning back-end to enable quick triage of potential new fraud. Classify transactions as high, medium or low risk.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Mongoose Transact Utils | 12 |  | 2 | 5 years ago | 3 | March 19, 2019 | mit | TypeScript | ||
| Helper methods for Mongoose and MongoDB transactions | ||||||||||
| Chainsync | 12 | 6 years ago | 10 | March 24, 2018 | 1 | mit | Python | |||
| a framework for streaming blockchain transactions/operations into other mediums | ||||||||||
| Case Study Fraud Detection | 5 | 7 years ago | Jupyter Notebook | |||||||
| Fraud Case Study Challenge: Given historical data, create a web based front-end with machine learning back-end to enable quick triage of potential new fraud. Classify transactions as high, medium or low risk. | ||||||||||
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