Hierarchical Clustering with an Ensemble of Principle Component Trees for Interpretable Patient Stratification

Checking purpose

CPI: Conditional Predictive Impact

Augmented Hierarchical Shrinkage - Development of a post-hoc regularization method based on sample size and node-wise degree of overfitting for random forests

Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson

A game theoretic approach to explain the output of any machine learning model.

Python Data Science Handbook: full text in Jupyter Notebooks

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

Text and supporting code for Think Stats, 2nd Edition

📚 An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high school variant.

This contains codes for simulations in the RaR paper

A Shiny App for educational purposes: https://nbwr.shinyapps.io/gamblers-ruin/

Code and documentation for experiments in the TreeExplainer paper