Credit-card-approval-prediction-classification and credit-risk-modelling

Credit-card-approval-prediction-classification
50
Established
credit-risk-modelling
42
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 24/25
Stars: 301
Forks: 103
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 176
Forks: 116
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Credit-card-approval-prediction-classification

semasuka/Credit-card-approval-prediction-classification

Credit risk analysis for credit card applicants

This helps individuals understand their likelihood of getting a credit card without affecting their credit score. You input personal and financial information, and it outputs a prediction of whether your credit card application would be approved or denied. This tool is for anyone considering applying for a credit card who wants to gauge their chances beforehand.

personal-finance credit-score loan-application financial-planning credit-risk-assessment

About credit-risk-modelling

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.

credit-analysis loan-origination risk-assessment financial-lending default-prediction

Related comparisons

Credit-card-approval-prediction-classification and Loan-Approval-Prediction Credit-card-approval-prediction-classification and loan_prediction_ApplAi Credit-card-approval-prediction-classification and credit-score-classification-app Credit-card-approval-prediction-classification and Loan-amount-prediction-regression

Scores updated daily from GitHub, PyPI, and npm data. How scores work