We will use a publicly available credit card applications dataset and attempt to beat the best classifiers published in the literature. This will include both classical machine learning algorithms and deep learning techniques.


Participants will use credit card datasets and use various classical and advanced machine learning techniques to predict whether the customer will be approved for a credit card or not.


This project will help students understand various classification techniques in machine learning which are used in credit approval by financial institutions.

Duration: 3-6 Months (Online – Offline, Instructor based)

Please talk to us for guidance in case you don’t meet prerequisite criteria.