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undergraduate thesis
Algoritmi strojnog učenja primijenjeni na zadanom skupu podataka
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. urn:nbn:hr:235:397812
Gelo, Anja
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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Gelo, A. (2023). Algoritmi strojnog učenja primijenjeni 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:235:397812

Gelo, Anja. "Algoritmi strojnog učenja primijenjeni na zadanom skupu podataka." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:235:397812

Gelo, Anja. "Algoritmi strojnog učenja primijenjeni na zadanom skupu podataka." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:235:397812

Gelo, A. (2023). 'Algoritmi strojnog učenja primijenjeni na zadanom skupu podataka', Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 16 June 2024, https://urn.nsk.hr/urn:nbn:hr:235:397812

Gelo A. Algoritmi strojnog učenja primijenjeni na zadanom skupu podataka [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2023 [cited 2024 June 16] Available at: https://urn.nsk.hr/urn:nbn:hr:235:397812

A. Gelo, "Algoritmi strojnog učenja primijenjeni 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:235:397812

Metadata
TitleAlgoritmi strojnog učenja primijenjeni na zadanom skupu podataka
Title (english)Machine learning algorithms applied to a given data set
AuthorAnja Gelo
MentorTomislav Stipančić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2023-03, 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 opisane su i objašnjene tri klasifikacijske neparametarske metode strojnog učenja koje pripadaju nadgledanom učenju – stroj potpornih vektora, algoritam k-najbližih susjeda te stablo odluke. Sva tri algoritma su primijenjena na zadanom skupu podataka u programskom jeziku Python te open-source web aplikaciji Jupyter Notebook. Prije same primjene algoritama na zadani skup podataka, na podatke je bilo potrebno primijeniti funkcije obrade podataka – funkcije čitanja, funkcije čišćenja, funkcije skaliranja te funkcije vizualizacije. Algoritmi su uspoređeni po validacijskom kriteriju preciznosti.
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, three classification non-parametric machine learning methods that belong to supervised learning are described and explained - the support vector machine, the k-nearest neighbors algorithm and the decision tree. All three algorithms were applied to the given data set in the Python programming language and the open-source web application Jupyter Notebook. Before applying the algorithms to the given data set, it was necessary to apply data processing functions to the data - reading functions, cleaning functions, scaling functions and visualization functions. Algorithms were compared according to the validation criterion of precision.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:397812
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 on2023-02-23 10:23:06