Notebooks

Here's a list of all jupyter notebooks and what they cover.

Name	Complexity	Topic
Sharks and ice cream	🌶️	A basic example showing association is not causation.
Fertilizer and crop yield	🌶️🌶️	Confounding causing bias in Bayesian estimation.
Education and wage	🌶️🌶️	Collider bias causing a positive effect to appear negative.
Sleeping pills	🌶️🌶️	Using the S-learner and T-learner to estimate CATEs.
Uplift modelling	🌶️🌶️🌶️	A more complex CATE estimation example.
SHAP explanations	🌶️🌶️	Using SHAP to explain a neural network.