A credit score is a numerical representation of an individual's creditworthiness, indicating their ability to manage and repay debts.
Machine Learning Application for the finance domain that classifies the credit score of an individual based on their profile and credit history to indicate creditworthiness and ease loan underwriting.
Develop a machine learning model to accurately classify credit scores based on customer attributes.
Credit score classification helps banks and financial institutions evaluate creditworthiness, detect fraud, reduce risk, and improve loan underwriting.
Leverage ML techniques to enhance decision-making for lenders and improve profitability.
Run the app.py python file in flask environment to check the predictor application. Submit the information to get the credit score prediction of "Poor", "Standard" or "Good" depending on customer profile.
Alina Nasir http://github.com/Alina-Nasir
Mydah Nasir http://github.com/Mydah-Nasir