Considerations - Fraud Detection Using Machine Learning

Considerations

Customization

By default, Fraud Detection Using Machine Learning uses a credit card fraud dataset to train the machine learning (ML) model. However, you can customize the solution to use your own dataset. To train the model on your own dataset, you must modify the included notebook to point the model to your dataset. You must also modify the solution’s AWS Lambda function to process your events.

You can use the provided REST API to invoke the endpoints with incoming data points after you have trained on your historical data.

Regional Deployment

Fraud Detection Using Machine Learning uses Amazon SageMaker and Amazon Kinesis Data Firehose which are currently available in specific AWS Regions only. Therefore, you must launch this solution in a region where these services are available. For the most current service availability by region, see AWS service offerings by region.