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

http://www.rdatamining.com/training/medascin/MLwR.zip

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

2. Open the “MLwR.Rproj” file with RStudio
3. 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

http://www.rdatamining.com/training/medascin