Machine Learning, Causal Inference, Data Science, Deep Dives, Notes From Industry.
dataset: there is a row for every day and every product, along with some additional features of this (day x product) combination that can be used as potential confounders, X. Most importantly, in every row, the data records Q and P. First, I’ll define two standard ML models to predict log(p) and