Machine Learning, Causal Inference, Programming, Data Science.
explain some of the meta-learners mentioned in the code, all these T-Learner, S-Learner, X-learner, etc… To begin with, I assume that you already know what is the causal analysis and what it is trying to infer. If not, a brief summary — causality tries to answer the questions of ‘what if’.