# causality-tutorials

A short set of tutorials on using machine-learning methods for causal inference.

causality-tutorials is a small collection of short tutorials that show how to apply machine-learning methods to causal inference. The material is presented as Jupyter notebooks intended to be worked through directly.

The repository is released under the MIT license and focuses narrowly on the intersection of machine learning and causal inference methods, rather than covering either topic broadly on its own.

Website: https://github.com/vveitch/causality-tutorials