Loan Default Prediction in Bank
HELP University
4 weeks
Machine Learning
Colaborators
Project Overview
BDA Bank addresses loan approval challenges through data mining, employing preprocessing to refine data and utilizing clustering and predictive models to enhance applicant assessment.
Objective
Enhance loan approval accuracy at BDA Bank by applying data preprocessing techniques and comparing predictive models, ultimately identifying the most effective approach for assessing borrower risk.
Skills & Tools
Outcomes
The project successfully utilizes clustering to identify borrower patterns and determines that regression is the optimal predictive model, providing BDA Bank with an efficient method to assess loan applicants and improve approval accuracy.
