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