Causal discovery tutorial

Causal discovery is the process of inferring causal relationships between variables from observational data. The goal of causal discovery is to find a set of causal relationships that are consistent with the data. In this tutorial, we show how you can use our causal discovery analytics and demo with two data sets: apartment rental prices and wine quality.