@deburky

@deburky has been a member of Linktree for 2 years and joined in December 2023. The social media accounts linked to from @deburky are: • LinkedIn • Discord • GitHub Besides social media accounts, deburky has populated their site with: • ChatGPT History ETL • Robust Logistic Regression • Poisson Models • Default Prediction with Neural Networks • Neural Networks • Contingency Tables and Classification • Logistic Regression Inference • Logistic Regression • Random Forests • SHAP Scoring • CAP Curve and Recall @ Top p • KAN Boosting • Boosting Beyond Trees • WoeBoost • Visualizing Gradient Boosting • XGBoost to Logistic Regression • Explainable Scorecard Boosting (xbooster) • Additive Logistic Regression • Gradient Boosting • Enhancing Credit Scorecards with Boosting • Exploring Interpretable Scorecard Boosting • Benchmarking PD Models • WOE, Log Odds, and Standard Errors • From WOE to Logistic Regression • WOE for Text Classification • Scorecarding with Naive Bayes • Credit Risk Modeling with Naive Bayes • WOE estimators for PD Models • Building Random Forest Scorecards • Understanding LGD Risk • Validating Tree-Based Risk Models • Designing Credit Scoring Systems with ML Components • Fairness in Credit Scoring • Class Imbalance in Credit Scoring • Calibration and Model Selection • Loss Functions for PD Models • Unlocking Lending Profitability with Risk Modeling