engleski

Big Data Pre-processing and Analysis Using Select Methods in Programming Language R

The topic of this thesis is focused on preprocessing and analysis methods in the domain of big data. The theoretical part of the thesis is expected to include topics pertaining to the methods of preprocessing data (e.g. dealing with missing data, encoding data, sampling training vs. learning sets of data, feature scaling, etc.), and an overview of a set of select methods of big data analysis. The practical part of the thesis is expected to feature the application of some of the described methods on a chosen data set, implemented in programming language R.

artificial intelligence ; machine learning ; r ; big data ; preprocessing ; data analysis ; regression

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