Building machine learning models in R with mikropml: preprocessing data (CC125)

July 9, 2021 • PD Schloss • 1 min read • •

Code

You can browse the state of the repository at the

• beginning of the episode
• end of the episode

Installations

If you haven’t been following along, you can get caught up by doing the following:

• (windows) Install the Ubuntu Linux BASH shell for Windows 10
• (mac) Install homebrew and git

    /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
    brew install git
  

• To get to where we are at the beginning of this episode (you won’t have the same issue numbers at Pat)…
  • Set up a GitHub account
  • Create a new GitHub repository
    • Call it “mikropml_demo”
    • Make it Public
    • Don’t check the box next to “Initialize this repository with a README”
    • Click the green “Create repository” button

  • Go to your command line and enter the following replacing <your_github_id> with your GitHub user id

    git clone git@github.com:SchlossLab/mikropml_demo.git
    cd mikropml_demo
    git reset --hard 21bc222922c8683a776514ff563e2103cb336c1b
    git remote set-url origin git@github.com:<your_github_id>/mikropml_demo.git
    git push -u origin master
    

  • Return to GitHub and refresh your browser.
  • Go to the mikropml_demo directory on your computer and double click on the mikropml_demo.Rproj icon. This will launch RStudio and you’ll be good to go.