Causal ML

R
sherlock
sl3
mlr3
bayesian learning network
causal forest
shap
xAI
explainable-ML
DoubleML

Causal modeling

Implementation of various causal modeling techniques to determine if living in the U.S. or Europe impacts developers’ overall job satisfaction. The methodological approach, involving doubleML, causal segmentation, and Bayesian learning networks, is deliberately inductive, allowing the different models to uncover distinct insights.

GitHub repo is here Read the related blog post here