I got this idea based on incidents happening in our community

What it does

Credit Card Fraud Detection Project using Deep Learning.

How we built it

The aim of this project is to build a model that can detect credit card fraudulent transactions. We built a model that will be able to discern fraudulent from non-fraudulent one. 1.Importing the Datasets 2.Data Exploration 3.Data Manipulation 4.Data Modeling

Challenges we ran into

Pre processing huge raw data

Accomplishments that we're proud of

Able to run model successfully

What we learned

Deep Learning algorithms

What's next for DeepL

Collecting more data and building model on top of it

Built With

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