Credit Score Prediction is a machine learning project that classifies credit scores ('Good', 'Standard', 'Poor') using a streamlined pipeline. It involves data extraction, cleaning, and preprocessing, with key techniques like Mutual Information for feature selection, PCA for dimensionality reduction, and XGBoost for efficient and accurate model tr
python pipeline numpy pandas feature-selection pca dimensionality-reduction sqlite3 mutual-information classification-report imblearn joblib streamlit xgboost-classifier roc-auc-curve random-search-optimization
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Updated
Sep 5, 2024 - HTML