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undergraduate thesis
Analiza rada algoritama strojnog učenja na zadanom skupu podataka
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. urn:nbn:hr:235:269492
Krupić, Omar
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

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Krupić, O. (2023). Analiza rada algoritama strojnog učenja na zadanom skupu podataka (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:269492

Krupić, Omar. "Analiza rada algoritama strojnog učenja na zadanom skupu podataka." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:235:269492

Krupić, Omar. "Analiza rada algoritama strojnog učenja na zadanom skupu podataka." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:235:269492

Krupić, O. (2023). 'Analiza rada algoritama strojnog učenja na zadanom skupu podataka', Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 17 November 2024, https://urn.nsk.hr/urn:nbn:hr:235:269492

Krupić O. Analiza rada algoritama strojnog učenja na zadanom skupu podataka [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2023 [cited 2024 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:235:269492

O. Krupić, "Analiza rada algoritama strojnog učenja na zadanom skupu podataka", Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:235:269492

Metadata
TitleAnaliza rada algoritama strojnog učenja na zadanom skupu podataka
Title (english)Machine learning algorithms performance analysis on a given data set
AuthorOmar Krupić
MentorTomislav Stipančić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2023-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
U svijetu podataka i velike količine informacija algoritmi umjetne inteligencije postaju sve značajniji. U ovisnosti o vrsti i strukturi podataka te metodi strojnog učenja algoritmi se koriste prilikom predviđanja, odlučivanja, klasifikacije, prepoznavanja i slično. U ovom radu bit će prikazana analiza zadanog skupa podataka kroz tri algoritma strojnog učenja. Nakon prilagodbe podataka i njihove pripreme, te nakon primjene algoritama umjetne inteligencije, izvodi se zaključak o valjanosti izvođenja pojedinog algoritma. Svaki algoritam : naivni Bayesov klasifikator, klasifikator k- najbližih susjeda te klasifikator logističke regresije prethodno je opisan u sklopu posebnog poglavlja gdje su izložene sve potrebne pojedinosti za njihovo pravilno razumijevanje.
Abstract (english)
In the world of data and large amounts of information, artificial intelligence algorithms are becoming increasingly important. Depending on the type and structure of the data and the machine learning method, algorithms are used for prediction, decision-making, classification, recognition, and the like. In this paper, analysis of a given dataset through three machine learning algorithms is presented and explained. After finishing dataset setup, and after the use of every artificial inteligence algorithm, the conclusion is given about the precision of every algorithm. Each algorithm: naive Bayes classifier, k nearest neighbor, logistic regression is previously described in seperated sections where are displayed all informations and details about their correct use and understanding.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:269492
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-09-21 17:16:49