Credit-card-approval-prediction-classification and credit-score-classification-app
These are **competitors**: both perform binary/multi-class classification on credit applications or scores to assess borrowing risk, with overlapping use cases in credit decisioning despite different implementation approaches (scikit-learn model vs. Streamlit app).
About Credit-card-approval-prediction-classification
semasuka/Credit-card-approval-prediction-classification
Credit risk analysis for credit card applicants
Implements binary classification using gradient boosting to predict approval likelihood without hard credit inquiries, achieving 90% recall on applicant data. Leverages exploratory and multivariate correlation analysis to identify income and relationship status as top predictive features. Deploys via Streamlit frontend with models hosted on AWS S3 for production inference.
About credit-score-classification-app
devmedeiros/credit-score-classification-app
A streamlit app on credit score classification
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