This repository contains all of the source material for my presentation on a brief overview of causal infererence. The presentation covers the basics of causal inference from observational data, model evaluation, causal discovery and counterfactual reasoning.
I created the presentation in R studio using the xaringan package.
This is a work in progress that I am using to teach myself the basics of causal infererence. I am also using it to give an overview to ML colleagues who have not been exposted to causal infererence.
You can view the processed slides here: https://tjohnson250.github.io/overview_causal_inference/overview_causal_inference.html#1
Use the arrow keys to advance the slides and be sure to press 'p' to see additional notes and references.
If you have feedback or spot an error, please submit an issue on this project's repo.