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.
Professional Studies (MS)
Department, Program, or Center
Graduate Programs & Research (Dubai)
Almheiri, Abdulrahman Saeed, "Automated Loan Approval System for Banks" (2023). Thesis. Rochester Institute of Technology. Accessed from