coltonberger / Fraud_App_Frontend

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Fraud Detection Case Study

Description

Front-end dashboard for investigators to use which helps them identify new events that are worthy of investigation for fraud. Which has the ability to pull in new data regularly, and update a useful display for the investigation team.

This collaborative case study was in partnership with 4 members from Galvanize's Data Science Immersive. The Data Science team analyzed data to build a model as well as the API and the front-end pulls in the latest events in real-time.

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License:MIT License


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Language:JavaScript 79.6%Language:HTML 15.8%Language:CSS 4.6%