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undergraduate thesis
Strojno učenje u paketu scikit-learn
2018. urn:nbn:hr:211:775476
Nikola, Radošić
University of Zagreb
Faculty of Organization and Informatics
Department of Quantitative Methods

Cite this document

Nikola, R. (2018). Strojno učenje u paketu scikit-learn (Undergraduate thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:775476

Nikola, Radošić. "Strojno učenje u paketu scikit-learn." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2018. https://urn.nsk.hr/urn:nbn:hr:211:775476

Nikola, Radošić. "Strojno učenje u paketu scikit-learn." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2018. https://urn.nsk.hr/urn:nbn:hr:211:775476

Nikola, R. (2018). 'Strojno učenje u paketu scikit-learn', Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 25 April 2024, https://urn.nsk.hr/urn:nbn:hr:211:775476

Nikola R. Strojno učenje u paketu scikit-learn [Undergraduate thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2018 [cited 2024 April 25] Available at: https://urn.nsk.hr/urn:nbn:hr:211:775476

R. Nikola, "Strojno učenje u paketu scikit-learn", Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:211:775476

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Metadata
TitleStrojno učenje u paketu scikit-learn
Title (english)Machine learning with scikit-learn
AuthorRadošić Nikola
MentorMarcel Maretić (mentor)
MBZ: 253492
Committee memberDamir Horvat
MBZ: 264435
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Quantitative Methods)
Varaždin
Defense date and country2018-09-17, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
U radu je potrebno pregledno i iscrpno predstaviti mogućnosti paketa scikit-learn za potrebe strojnog učenja. Scikit-learn je uz Numpy, matplotlib i dr. jedan od dijelova Scipy ekosustava (scientific Python). U radu je potrebno izraditi i prezentirati vlastite primjere. Potrebno je poznavanje programskog jezika Python i dobra podloga iz matematičkih kolegija za svladavanje tema iz strojnog učenja. Primjere i prezentaciju je potrebno izraditi u Jupyter razvojnoj okolini.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:775476
Study programmeTitle: Business 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 students and staff of home institution
Terms of useLicence Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) icon
Created on2019-03-04 12:21:19