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giulianoojeda / CreditRiskScore

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A machine learning project to predict home loan default risk 📉. This is a binary classification task using Python, Pandas, and Scikit-learn. The entire workflow, from data exploration and feature eng to model training, is developed within a Jupyter Notebook. The final model predicts the probability of default and is evaluated using the AUC Score

python machine-learning scikit-learn jupyter-notebook pandas fintech classification auc feature-engineering credit-risk
  • Updated Jul 6, 2023
  • Jupyter Notebook

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