Data Science, Causality, Statistics, Advertising, Python.
robustness of the estimated effect and model criticism. Thus, DoWhy provides a great environment in which to take causal inference a step farther. All of the hard parts of causal inference are abstracted, and act as tools with which we can build higher-level features. This includes the concept of a