Credit Card Fraud Detection : Comparing DNN with Logistic Regression

Project Description

With the increasing rate of credit card fraud, there is a need to develop a robust system that can accurately detect anomalies (fraud) in the transaction dataset. In collaboration with 2 of my colleagues, we investigated the fraud in a typical credit card transaction by comparing the performance of  Deep Neural Network with Logistic Regression.

Poster Presentation

The tools, algorithms and the socio-ethical risk evaluation of implementing this algorithm is broadly expatiated in the poster below.


Skip to content
%d bloggers like this: