Amazon Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities such as online payment fraud and the creation of fake accounts. This repository contains a collection of sample Jupyter notebooks that interact with the Amazon Fraud Detector APIs.
- Fraud_Detector_End_to_End.ipynb - contains a notebook that is an end to end example of Fraud Detector’s APIs
- Fraud_Detector_GetEventPrediction_API_example.ipynb – provides an example of calling a Fraud Detector’s predict API.
- Fraud Detector Data Profiler – contains a python package and notebook to profile data. It can be used to identify data quality and other issues when preparing data for Fraud Detector.
This library is licensed under the MIT-0 License. See the LICENSE file.