topepo / nyr-2020

Materials for the 2020 NYR Machine Learning workshop

Materials for the 2020 NYR Machine Learning workshop

These materials are for the remote workshop on August 5-6 and 12-13, 2020

Package/software

For software, there are two options:

• Install software locally on your computer
• Use an RStudio Server Pro instance that we will provide on the day of the first workshop session.

The software requirements are:

pkgs <- c('discrim', 'earth', 'ggrepel', 'glmnet', 'klaR', 'lubridate', 
          'rpart', 'stringr', 'tidymodels', 'timeDate', 'vip', 'xgboost')

install.packages(pkgs, repos = "http://cran.rstudio.com")

# to test: 
library(tidymodels)
library(glmnet)
library(xgboost)

It is important to have version 0.1.1 of the tidymodels package.

Getting help/asking questions

In the nyhackr slack organization, there are two channels for particpants to ask questions prior to and during the workshop:

• max-kuhn-rconf2020-general is for asking general questions.
• max-kuhn-rconf2020-technical for issues installing or running the software.

I've seeded some example questions and will be monitoring these channels.

This link can be used to get a slack account.

Optional pre-reading

If you are interested in reading materials prior to the course, I would suggest taking a look at the first three chapters of the Feature Engineering book. Specifically, Chapter 3 "A Review of the Predictive Modeling Process" is a good overview of many of the topics that will be covered.

If you are unfamiliar with the tidyverse, I suggest reviewing R for Data Science.

For model on the tidymodels packages, take a look at tidymodels.org.