maixbach/credit-risk-analysis-using-ML
Credit Risk Analysis using Machine Learning models
This project helps financial institutions assess the likelihood of a customer defaulting on their credit card. By analyzing customer data like credit score and credit limit utilization, it provides a prediction of whether a credit card applicant is likely to default. Credit risk analysts, loan officers, and risk managers in financial institutions would use this to make informed lending decisions.
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Use this if you need to quickly evaluate the creditworthiness of potential borrowers and identify the key factors influencing credit card default risk.
Not ideal if you are looking for a solution that incorporates non-traditional data sources like social media or real-time transaction data for risk assessment.
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Last pushed
May 18, 2023
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