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undergraduate thesis
Prediktivno modeliranje akademske uspješnosti
2020. urn:nbn:hr:211:197501
Radić, Pero
University of Zagreb
Faculty of Organization and Informatics
Department of Information Systems Development

Cite this document

Radić, P. (2020). Prediktivno modeliranje akademske uspješnosti (Undergraduate thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:197501

Radić, Pero. "Prediktivno modeliranje akademske uspješnosti." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2020. https://urn.nsk.hr/urn:nbn:hr:211:197501

Radić, Pero. "Prediktivno modeliranje akademske uspješnosti." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2020. https://urn.nsk.hr/urn:nbn:hr:211:197501

Radić, P. (2020). 'Prediktivno modeliranje akademske uspješnosti', Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 16 September 2024, https://urn.nsk.hr/urn:nbn:hr:211:197501

Radić P. Prediktivno modeliranje akademske uspješnosti [Undergraduate thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2020 [cited 2024 September 16] Available at: https://urn.nsk.hr/urn:nbn:hr:211:197501

P. Radić, "Prediktivno modeliranje akademske uspješnosti", Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:211:197501

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Metadata
TitlePrediktivno modeliranje akademske uspješnosti
Title (english)Predictive modeling of academic success
AuthorPero Radić
MentorDijana Oreški (mentor)
MBZ: 318615
Committee memberGoran Hajdin (član povjerenstva)
MBZ: 301535
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Information Systems Development)
Varaždin
Defense date and country2020-07-21, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
U fokusu je ovog rada primjena tehnika prediktivne analitike u modeliranju akademske uspješnosti. U teorijskom dijelu je napravljen pregled prethodnih istraživanja na ovu temu i opisane su tehnike strojnog učenja. U praktičnom dijelu provedena je anketa te su analizirani prikupljeni podaci.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:197501
Study programmeTitle: Information Systems
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence Attribution 3.0 Unported (CC BY 3.0) icon
Created on2021-05-13 13:38:05