Tutorial at Melbourne Data Science Week
This is a tutorial on Machine Learning with R for the Melbourne Data Science Week, Melbourne, 29 May - 2 June 2017.Note: Certificates have been sent out to all attendees of the tutorial. If you have attended but haven't received a certificate, please let me know. Thanks.
Machine Learning with R: Association Rules, Text Mining and Social Network Analysis
Familiarity with scripting and/or programming
Basic knowledge of data mining, especially of,
Social network analysis (SNA)
You will need to bring your own laptop. Please install the required software and R packages and download the datasets, slides and scripts below before coming to the course.
Software and Packages
RStudio (desktop edition)
R packages (please run the R script to install required R packages)
RStudio project archive [MLwR.zip], which contains all datasets, slides and scripts below. Alternatively, you may download individual files separately at links below.
This is a course on machine learning with R. It will cover four sessions below. Each session will be of 45 minutes, composed of a 35-minute tutorial and a 10-minute lab.
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
If you have any questions or feedback, please do not hesitate to contact me on yanchang <at> RDataMining.com. Thanks.