@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: • Robust Logistic Regression • Logistic Regression • Neural Networks • Default Prediction with Neural Networks • Logistic Regression Inference • Random Forests • SHAP Scoring • ChatGPT History ETL • Poisson Models • Visualizing Gradient Boosting • CAP Curve and Recall @ Top p • Contingency Tables and Classification • Benchmarking PD Models • Exploring Interpretable Scorecard Boosting • XGBoost to Logistic Regression • Gradient Boosting • Additive Logistic Regression • Explainable Scorecard Boosting (xbooster) • Boosting Beyond Trees • WoeBoost • KAN Boosting • Enhancing Credit Scorecards with Boosting • Loss Functions for PD Models • Understanding LGD Risk • Designing Credit Scoring Systems with ML Components • Building Random Forest Scorecards • Validating Tree-Based Risk Models • WOE, Log Odds, and Standard Errors • Class Imbalance in Credit Scoring • Fairness in Credit Scoring • Calibration and Model Selection • From WOE to Logistic Regression • Unlocking Lending Profitability with Risk Modeling • WOE for Text Classification • Scorecarding with Naive Bayes • Credit Risk Modeling with Naive Bayes • WOE estimators for PD Models