This IPython notebook was used to give the Penn Medicine Predictive Healthcare team exposure to the topic of causal inference and introduce them to some established methods.

Causality is a fundamental concept that seeks to determine the relationships between events, particularly to discern whether one event is the result of another. In this notebook we will establish causality by determining whether a change in one variable causes a change in another variable.

Notes about Statistical Rethinking | Richard McElreath

Tutorials of Scribe Python package usage cases

Colab notebooks exploring different Machine Learning topics.

Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks