partial-dependence

Nonlinear U.S. airline output modelling with ridge regression, RBF and polynomial kernel ridge, I-splines, cross-validation, and partial dependence.

Two Random Forest case studies connecting validation performance, global feature reliance, local SHAP attribution and input representation.

ML Model Explainability & Monitoring Platform | SHAP explanations, data drift detection (PSI), fairness analysis & what-if simulator | Plotly.js

Explainable AI assignment comparing TabNet interpretability with permutation importance, partial dependence plots, and LIME on tabular weather data.