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undergraduate thesis
Primjena modela za linearnu regresiju na danom skupu podataka
2022. urn:nbn:hr:235:513644
Novak, Lucija
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

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Novak, L. (2022). Primjena modela za linearnu regresiju na danom skupu podataka (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:513644

Novak, Lucija. "Primjena modela za linearnu regresiju na danom skupu podataka." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:235:513644

Novak, Lucija. "Primjena modela za linearnu regresiju na danom skupu podataka." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:235:513644

Novak, L. (2022). 'Primjena modela za linearnu regresiju na danom skupu podataka', Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 10 November 2024, https://urn.nsk.hr/urn:nbn:hr:235:513644

Novak L. Primjena modela za linearnu regresiju na danom skupu podataka [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2022 [cited 2024 November 10] Available at: https://urn.nsk.hr/urn:nbn:hr:235:513644

L. Novak, "Primjena modela za linearnu regresiju na danom skupu podataka", Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:235:513644

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Metadata
TitlePrimjena modela za linearnu regresiju na danom skupu podataka
Title (english)Application of a linear regression model for the given data set
AuthorLucija Novak
MentorTomislav Stipančić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2022-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
Tema ovog rada je primjena modela linearne regresije na danom skupu podataka. Model i njegova implementacija razvija se u programskom jeziku Python. Učitavanje biblioteka, provjera i podjela podataka i njihovo testiranje odrađuju glavni zadatak treniranja takvog modela. Model linearne regresije ima za cilj predviđati podatke, a vizualiziranjem krajnjeg ishoda procjenjuje se točnost i uspješnost. Svemu tome prethodi i objašnjenje teorijske osnove potrebne za razumijevanje
Abstract (english)
The topic of this paper is the application of the linear regression model for the given data set. The model and its implementation are developed in the Python programming language. Importing librarires, verifying and splitting data and testing them perform the main task of training such a model. A linear regression model aims to predict data, and by visualizing the end result, accuracy and success are assessed. All this is preceded by an explanation of the theoretical basis necessary for understanding.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:513644
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 on2022-09-21 11:35:01