Mrinal Gupta mrinal1704

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1. The provided dataset contained application (identity) fraud cases. It was a supervised problem as the data included a column showing the application’s fraud label (whether an application was fraudu…

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2. Credit card fraud is a burden for organizations across the globe. Specifically, $24.26 billion were lost due to credit card fraud worldwide in 2018, according to shiftprocessing.com. In this projec…

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3. This project contains a web app that asks for a message from a potential user who is in danger during a disaster and the app categorizes that message into a particular category such as aid related,…

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4. This repo contains a Dog breed classifier algorithm using deep learning. The main functions of this algorithm are that if a dog is detected in the image, it will provide an estimate of the dog's br…

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5. This project analyzes New York City’s (NYC’s) real estate data to specifically identify property tax fraud. The main indicators of property tax fraud were property tax assessments that were too hig…

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6. This repo contains my first hands-on experience in developing a Recommendation engine using IBM Watson Studio dataset. The goal is to recommend the articles to the user using varius types of Recomm…

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