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Nov 26, 2018 - Jupyter Notebook
#
woe-and-iv
Here are 17 public repositories matching this topic...
Tools for binning data
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Nov 5, 2024 - R
A credit risk scorecard webapp that lets finance teams and analysts run Basel-compliant loan default predictions.
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Dec 2, 2025 - Jupyter Notebook
Implementation of weight of evidence and Information value techniques using Python
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Jul 7, 2020 - Jupyter Notebook
CredVibe is an ML credit scorecard system achieving 95%+ default recall with explainable predictions for loan risk assessment. Features KS/Gini validation, Optuna tuning, FastAPI + Streamlit deployment. Generates CIBIL-like scores, and converts to business rules for BRE integration.
machine-learning fintech logistic-regression credit-scoring nbfc loan-default-prediction credit-score credit-risk explainable-ai credit-risk-assessment vif mlflow woe-and-iv fastapi optuna gini-coefficient streamlit smote-tomek ks-statistic
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Feb 19, 2026 - Python
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Jul 12, 2022 - Python
This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.
python data-science machine-learning numpy pandas supervised-learning classification confusion-matrix kolmogorov-smirnov nonlinear-regression vif woe-and-iv auc-roc-curve
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Oct 8, 2024 - Python
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Jan 11, 2024 - Jupyter Notebook
Lead prediction case. Used GBM, RandomForest Linear Regression on H2O package
random-forest linear-regression plotly h2o prediction plotting weight-of-evidence gradient-boosting woe woe-and-iv woebinning lead-prediction
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Jun 27, 2019 - HTML
Scorecard tools
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Jun 24, 2023 - Python
A machine learning credit scoring
machine-learning docker-container feature-selection credit-scoring woe-and-iv fastapi optuna-optimization
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Apr 3, 2026 - Jupyter Notebook
PD model using Logistic Regression in Python
python statistics sklearn jupyter-notebook logistic-regression credit-scoring credit-risk woe-and-iv roc-auc-curve
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May 28, 2023 - Jupyter Notebook
Plugin for auto-calculation (no-code) for Weight of Evidence & Information Value (IV) in Dataiku DSS
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Aug 1, 2022 - Python
End-to-end credit risk system on 1.3M loans — WoE/XGBoost PD model (AUROC 0.767), local LLM signal extraction (99.9% parse rate), SHAP-grounded credit memo generator, and a multi-modal Early Warning System combining FinBERT news sentiment with FRED macro signals (recall 1.00).
python nlp machine-learning xgboost fred-api early-warning-systems woe-and-iv shap credit-risk-analysis finbert llm ollama
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Mar 15, 2026 - Jupyter Notebook
End-to-end credit scoring pipeline: EDA → WoE/IV feature selection → Logistic Regression scorecard + LightGBM → OOT validation · FastAPI + Jinja2 UI
python machine-learning kaggle fintech kaggle-competition banking lightgbm logistic-regression credit-scoring scorecard woe credit-risk woe-and-iv fastapi
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Apr 18, 2026 - Jupyter Notebook
Credit risk scorecard using logistic regression with WoE features (Give Me Some Credit dataset)
python sql sqlite kaggle sqlite3 logistic-regression scorecard credit-risk woe-and-iv credit-risk-analysis
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Sep 17, 2025 - Jupyter Notebook
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