We will be sending out an email with the official information regarding the Applied Machine Learning workshop. This post we be used to supplement that information and enable a discussion about prerequisites, package installs, and any other questions that you have beforehand.
For this workshop, a GitHub repo will be provided via email about a week before the course. It will contain the code, slides, data, and everything else required for the workshop.
We will have RStudio Server Pro instances for those would like them. To help us plan, it would be great if you make a post below (or send me an email at
email@example.com or dm @Max ) if you don't want to use a server (i.e. you will only run on your machine).
Local Installation Instructions
I'll be using the the most recent version of R but I believe that anything > 3.4.1 should be fine. The package installation instructions are:
from_cran <- c("AmesHousing", "broom", "caret", "devtools", "doParallel", "e1071", "earth", "glmnet", "ipred", "klaR", "pROC", "rpart", "rsample", "sessioninfo", "tidyposterior", "tidyverse", "yardstick") install.packages(from_cran, repos = "http://cran.rstudio.com") library(devtools) install_github("topepo/recipes")
install.packages command may additionally install over 100 more packages.
If you can install from source, it would be good (but not required) to get the development version of
install_github("topepo/caret", subdir = "pkg/caret")
To verify the installation, try running:
library(caret) library(tidyposterior) library(dplyr) library(recipes) library(AmesHousing) ames <- make_ames()
RStudio Server Pro Instructions
We will send these out over email.
So... if you have any questions or issues, post them here!
EDIT: added a new verification case