@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.