bgreenwell/cprint

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Created over 6 years ago
Updated over 5 years ago

bgreenwell/cprint

bgreenwell

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Print common R data structures in a format which can be used as input to the interpreter

fastshap

Fast approximate Shapley values in R

pdp

A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.

RBitmoji

An R wrapper to the overly complicated Bitmoji API 😱

investr

Inverse estimation in R

MLDay18

Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

uc-bana7052-old

Course materials for BANA 7052 (Applied Linear Regression) at UC

rjournal-shapley

An Introduction to Prediction Explanations with Shapley Values

treebook

Tree-based methods for supervised learning in R

roundhouse

An R wrapper to the ICNDb API (i.e., use R to generate random Chuck Norris facts 🙌)

bpa

Basic pattern analysis in R

intro-ml-r

Introduction to machine learning in R (slides for Analytics Connect '18)

rstratx

An R interface to the stratx Python library

mertree

Regression trees for longitudinal and clustered data

SampleSHAP.jl

A Julia port of the fastshap package in R

quarto-crc

A Quarto example of Chapman & Hall/CRC books

treemisc

Miscellaneous data sets and functions to accompany “Tree-Based Methods: A Practical Introduction (with Examples in R)”

book-spark

Distributed Machine Learning in R with Apache Spark: An Introduction Using sparklyr and rsparkling

bgreenwell-blogdown

My (not so lame anymore) website...😎

ramify

Additional matrix functionality for R

ddatools

Data sets and functions to accompany "Discrete Data Analysis for Business Analytics"

nppesapi

An R wrapper to the NPPES API