From uplift ranking to uncertainty-aware decisions on the Criteo dataset

Uncertainty-aware personalization with practical decisioning

From Uplift Modeling to Counterfactual Explanations

Evaluating uplift models using ranking-based metrics across real datasets

Abstract

From Estimation to Practical Application

From Assumptions to Counterfactuals: A Practical Causal Modeling Workflow

Propensity Scores in Practice

A fully commented, marketing-focused notebook

Chapter 4 — Linear Regression for Causal Inference

Bank Marketing Case Study

Causal Graphs, Confounding, Colliders, and Selection Bias

A Practical Tutorial Inspired by Chapter 3 (with Original Examples)

Randomized Experiments and Stats Review

A Minimal Demo in Python