Credit-card-approval-prediction-classification and Loan-amount-prediction-regression

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 0/25
Adoption 6/25
Maturity 16/25
Community 17/25
Stars: 301
Forks: 103
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 18
Forks: 10
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
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 Loan-amount-prediction-regression

semasuka/Loan-amount-prediction-regression

Predicting how much loan will be approved

This project helps loan officers or financial analysts quickly estimate the loan amount an applicant might be approved for. You input various details about a loan applicant, such as their credit score, and it outputs a predicted loan amount. It's designed for professionals in lending institutions who need a data-driven prediction for loan applications.

loan-origination credit-underwriting financial-analysis lending applicant-assessment

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