Abstract

Machine learning and deep learning have revolutionized industries. Businesses have seen a boost in revenue through the use of these techniques, including the multibillion-dollar loan and credit industry. This study aims to develop a machine learning model to approve or disapprove loan applications based on customer characteristics, using algorithms such as statistical models, tree- based models, boosting models, and voting/stacking models. An exploratory analysis was conducted to understand customer characteristics, and the decision tree model proved to have the best performance with high precision in loan approval prediction.

Publication Date

1-2023

Document Type

Master's Project

Student Type

Graduate

Degree Name

Professional Studies (MS)

Department, Program, or Center

Graduate Programs & Research (Dubai)

Advisor

Sanjay Modak

Advisor/Committee Member

Hammou Messatfa

Campus

RIT Dubai

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