Summary
This blog post explores Structural Causal Models (SCMs) and Do-Calculus, detailing their components, applications, and the principles they represent in causal inference. It provides technical explanations, Python examples, and advanced topics related to counterfactual reasoning and the integration of SCMs with machine learning.