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Tutorial at Melbourne Data Science Week

Tutorial at the 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.

Course Title

Machine Learning with R: Association Rules, Text Mining and Social Network Analysis

Prerequisite

Requirement

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.

Course Outline

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.

  • 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

Contact

If you have any questions or feedback, please do not hesitate to contact me on yanchang <at> RDataMining.com. Thanks.

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MLwR.zip
(5772k)
Yanchang Zhao,
Jun 5, 2017, 10:51 PM
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RDM-scripts.zip
(11k)
Yanchang Zhao,
May 30, 2017, 3:57 PM
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Yanchang Zhao,
May 16, 2017, 10:26 PM
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Yanchang Zhao,
Jun 5, 2017, 10:52 PM
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Yanchang Zhao,
Jun 5, 2017, 10:52 PM
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Yanchang Zhao,
Jun 5, 2017, 10:52 PM