Slides and code for the Applied Machine Learning short course at R/Pharma 2019.
If you would like to run teh computations on your local machine, please run this code to install and verify the packages:
install.packages( c("tidymodels", "kknn", "AmesHousing", "readr"), repos = "http://cran.r-project.org" ) library(tidymodels) library(AmesHousing) library(readr) library(kknn)
Warnings here are okay, errors are not.
If you want to read up a bit about predictive modeling before the workshop, check out chapter 1 and chapter 3 of Feature Engineering and Selection.