Causal Inference
This is the fifteenth post on the series we work our way through “Causal Inference In Statistics” a nice Primer co-authored by Judea Pearl himself.
You can find the previous post here and all the we relevant Python code in the companion GitHub Repository:
While I will do my best to introduce the content in a clear and accessible way, I highly recommend that you get the book yourself and follow along. So, without further ado, let’s get started!
