Leanpub, 2018. — 147 p.
Do you want to start using R for crunching machine learning models right from the start with examples?
The book is about quickly entering the world of creating machine learning models
in R. The theory is kept to
minimum and there are examples for each of the major algorithms for classification, clustering, features engineering and association rules. The book is a compilation of the leaflets the authors give to their students during the practice labs, in the courses of Pattern Recognition and Data Mining, in the Electrical and Computer Engineering Department of the
Aristotle University of Thessaloniki (Greece).
Classification.
Data Processing.
Clustering.
Extended Topics.
A4 format