MSUSAzureAccelerators/Risk-Classification-and-Loan-Modeling-Accelerator
Predictive analytics and machine learning is used in the Risk Classification and Loan Modeling accelerator to estimate the optimal loan size that the SBA will approve for a given applicant which enables lending partners to process loan applications and make data-driven lending decisions quickly.
This project helps lending partners quickly assess loan applications by predicting the optimal loan amount the Small Business Administration (SBA) will approve. By inputting business and loan application data, it provides an estimated SBA-approved loan size and risk classification, enabling data-driven decisions. Loan officers, credit analysts, and risk managers in financial institutions would find this useful.
No commits in the last 6 months.
Use this if you need to quickly estimate SBA loan approval amounts and assess risk for small business loan applicants.
Not ideal if your lending focus is outside of SBA-guaranteed small business loans, or if you need to model other types of financial products.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Apr 27, 2023
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