MASKININLÄRNING FÖR PREDIKTIV DATAANALYS OCH VISUALISERING

Detta är en Kandidat-uppsats från Örebro universitet/Institutionen för naturvetenskap och teknik

Författare: Oskar Sandh; [2019]

Nyckelord: ;

Sammanfattning: Machine learning has a big influence over many different industries. A lot of research has already been done within this subject, and even more will be done in the future. This project aims to examine certain machine learning models in the context of a retail company. The analysis is limited to ten different regression model types, that is tested over six different datasets that is further divided into subsets. These models will be judged after their calculated RMSE (Root Mean Square Error) value and a comparison between these results will be made. In the end certain conclusions will be drawn from these results.  In addition to this analysis, the report will also describe the development of an application that has the purpose of presenting certain prediction insights to a client. A lot of the project focus has not been on this application, but the report will cover how the foundation was laid, and how its primary parts were developed.

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