Max Kuhn

caret. caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

FES. Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

APM_Exercises. Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

rstudio-conf-2019. Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2019

rstudio-conf-2018. Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2018

aml-london-2019. Course materials for Applied Machine Learning course in 2019 in London

C5.0. An R package for fitting Quinlan's C5.0 classification model

Cubist. An R package for fitting Quinlan's Cubist regression model

tidy-apm. tidymodels code for the book Applied Predictive Modeling

useR2016. Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"

tidyAPM. tidymodels code for Applied Predictive Modeling

AppliedPredictiveModeling. Data and code from Applied Predictive Modeling (2013)

shinylive-in-book-test. testing shiny in quarto docs

user2018. Slides and code for the 2018 useR! tutorial "Recipes for Data Processing"

XIjuR-2019. Presentations for Madrid R conference

FES_Selection_Simulation. Feature Selection Simulation Files

Optimization-Methods-for-Tuning-Predictive-Models. Code and slides from a 2016 talk at the Cambridge UK RUG

rstudio-conf. Materials for rstudio::conf

an-introduction-to-tidymodels. Overview of our packages