Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
MASKININLÄRNING FÖR PREDIKTIV DATAANALYS OCH VISUALISERING
Örebro University, School of Science and Technology.
2019 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

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.

Abstract [sv]

Maskininlärning ett stort inflytande över många branscher. Mycket forskning har gjorts inom detta ämne, och ännu mer kommer att göras i framtiden. Detta projekt syftar på att undersöka maskininlärningsmodeller i kontexten för ett detaljhandelsföretag. Analysen begränsas till tio olika regressionsvarianter som testas över 6 olika datamängder, indelade i ytterligare delmängder. Modellerna kommer att bedömas efter dess uträknade RMSE (Root Mean Square Error) värde och en jämförelse kommer att göras utifrån dessa. I slutändan så kommer vissa slutsatser att dras utifrån undersökningens resultat.  Utöver denna analys, så kommer även rapporten att beskriva utvecklingen av en applikation som har syftet att presentera prediktionsinsikter för en kund. Stor fokus har inte legat på denna del under projektets gång, men rapporten kommer berätta om hur grunden och dess primära delar har utvecklats. 

Place, publisher, year, edition, pages
2019. , p. 36
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-79467OAI: oai:DiVA.org:oru-79467DiVA, id: diva2:1389304
Subject / course
Computer Engineering
Supervisors
Examiners
Available from: 2020-01-29 Created: 2020-01-29 Last updated: 2020-01-30Bibliographically approved

Open Access in DiVA

fulltext(2329 kB)3 downloads
File information
File name FULLTEXT01.pdfFile size 2329 kBChecksum SHA-512
78acf080bb4492bddb96958c3238f80ec1add532187672034451e44454ca43c71d6a5aa04ba3dd726e82231754dcb1a8a2c69704851f4accde9fd28c255d7c11
Type fulltextMimetype application/pdf

By organisation
School of Science and Technology
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 3 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 21 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf