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fastshap
Fast approximate Shapley values in Rpdp
A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.investr
Inverse estimation in RMLDay18
Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18uc-bana7052-old
Course materials for BANA 7052 (Applied Linear Regression) at UCrjournal-shapley
An Introduction to Prediction Explanations with Shapley Valuestreebook
Tree-based methods for supervised learning in Rroundhouse
An R wrapper to the ICNDb API (i.e., use R to generate random Chuck Norris facts ๐)bpa
Basic pattern analysis in Rintro-ml-r
Introduction to machine learning in R (slides for Analytics Connect '18)rstratx
An R interface to the stratx Python librarymertree
Regression trees for longitudinal and clustered dataSampleSHAP.jl
A Julia port of the fastshap package in Rquarto-crc
A Quarto example of Chapman & Hall/CRC bookstreemisc
Miscellaneous data sets and functions to accompany โTree-Based Methods: A Practical Introduction (with Examples in R)โbook-spark
Distributed Machine Learning in R with Apache Spark: An Introduction Using sparklyr and rsparklingbgreenwell-blogdown
My (not so lame anymore) website...๐ramify
Additional matrix functionality for Rcprint
Print common R data structures in a format which can be used as input to the interpreterddatools
Data sets and functions to accompany "Discrete Data Analysis for Business Analytics"nppesapi
An R wrapper to the NPPES APILove Open Source and this site? Check out how you can help us