Credit card default prediction model in Python's Scikit-Learn --- A comparison of logistic regression, random forest and XGBoost models
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Jul 1, 2025 - Jupyter Notebook
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credit-default
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Prédiction du risque de non-remboursement d'un prêt pour la société Home Credit Group.
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Mar 10, 2023 - Jupyter Notebook
Credit Default Prediction
machine-learning neural-networks logistic-regression quantitative-finance support-vector-machines knearest-neighbor-classifier credit-default
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Apr 15, 2025 - Python
Investigations into the credit default dataset
neural-network random-forest pytorch ensemble-learning decision-trees financial-analysis gradient-boosting adaptive-boosting-algorithm sckit-learn extremely-randomized-trees credit-default
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Jul 3, 2023 - Jupyter Notebook
This project is about credit payment defaults prediction using machine learning techniques based solely on payment data. By analyzing historical payment patterns, we aim to identify customers at risk of defaulting on their loans or credit payments, helping financial institutions in risk mitigation
machine-learning decision-trees loan-default-prediction random-forest-classifier risk-mitigation credit-default
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Dec 5, 2024 - Jupyter Notebook
An end-to-end analysis of credit card default risk. I used Python for data cleaning and EDA, and built a two-page interactive dashboard in Tableau to present my findings and business recommendations. The live dashboard is linked in the README.
python pandas seaborn matplotlib tableau tableau-public tableau-dashboards credit-risk-analysis credit-default
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Sep 16, 2025 - Jupyter Notebook
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