thabresh-s/Credit-Risk-Analysis
Credit Risk Analysis with Machine Learning
This project helps financial institutions assess the likelihood of clients failing to repay loans, mortgages, or credit card debts. By inputting client data with various financial and demographic features, it outputs a prediction of whether a client is likely to default. This is designed for credit risk analysts, loan officers, and risk managers at banks and financial firms.
No commits in the last 6 months.
Use this if you need to quickly evaluate potential client credit risk and want to leverage machine learning for predictive analysis.
Not ideal if you require a simple pass/fail credit score without understanding the underlying risk factors.
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8
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Jupyter Notebook
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Last pushed
May 02, 2023
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