RDataMining Tutorial on Machine Learning with R

I have run a tutorial on Machine Learning with R for the Melbourne Data Science Week in June 2017, which consists of four sessions:

  • R Programming:
    basics of R language and programming, parallel computing, and data import and export
  • Association Rule Mining with R:
    mining and selecting interesting association rules, redundancy removal, and rule visualisation
  • Text Mining with R:
    text mining, word cloud, topic modelling, and sentiment analysis,
  • Social Network Analysis with R:
    graph construction, graph query, centrality measures, and graph visualisation

All materials of the above tutorial, incl. PDF slides, datasets and R scripts can be downloaded as a single ZIP archive at


How to use it:

  1. Decompress the ZIP archive, and you will find file and folders below:
  • MLwR.Rproj: RStudio project file
  • code: R scripts
  • data: datasets
  • docs: PDF slides
  • figures: charts
  1. Open the “MLwR.Rproj” file with RStudio
  2. Open each PDF slides file (in folder “docs”) and run its corresponding R scripts (in folder “code”) to learn each topic

Detailed instructions for the tutorial are available at



About Yanchang Zhao

I am a data scientist, using R for data mining applications. My work on R and data mining: RDataMining.com; Twitter; Group on Linkedin; and Group on Google.
This entry was posted in Uncategorized. Bookmark the permalink.

One Response to RDataMining Tutorial on Machine Learning with R

  1. Pingback: RDataMining Tutorial on Machine Learning with R | A bunch of data

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s