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.