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...is a collective term for characteristics that the two institutions share.
·-- PUBLISHED -----·> Packt Publishing
·-- LECTURESHIP ---·> Advanced Data Mining projects with R
·-- LECTURE DATE --·> 05-2017
02-2017 {Published}
·-- LEVEL ---------·> [ ] Starting {Beginner|Newcomer}
[■] Progressing {Intermediate|Advanced}
·-- PERIOD in HRS--·> 01+ e
·-- SCALE ---------·> 08x50mb
·-- LECTURE LINK --·> https://goo.gl/7AIkDx
Discover the versatility of R for data mining with this collection of
real-world dataset analysis techniques
Advanced Data Mining Projects with R takes you one step ahead in
understanding the most complex data mining algorithms and implementing
them in the popular R language. Follow up to our course Data Mining
Projects in R, this course will teach you how to build your own
recommendation engine. You will also implement dimensionality reduction
and use it to build a real-world project. Going ahead, you will be
introduced to the concept of neural networks and learn how to apply them
for predictions, classifications, and forecasting. Finally, you will
implement ggplot2, plotly and aspects of geomapping to create your own
data visualization projects.By the end of this course, you will be
well-versed with all the advanced data mining techniques and how to
implement them using R, in any real-world scenario.