jalajthanaki/credit-risk-modelling
Credit Risk analysis by using Python and ML
This tool helps lenders assess the likelihood of a loan applicant defaulting on their loan within the next two years. By inputting an applicant's financial and personal data, it predicts their credit risk. This is ideal for credit analysts, loan officers, and risk managers in financial institutions.
176 stars. No commits in the last 6 months.
Use this if you need to quickly evaluate the creditworthiness of loan applicants and forecast potential defaults.
Not ideal if you require real-time, high-frequency credit risk assessments for trading or portfolio management.
Stars
176
Forks
116
Language
Jupyter Notebook
License
—
Category
Last pushed
Nov 20, 2017
Commits (30d)
0
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