prikaz prve stranice dokumenta Primjena metoda statistike i dubinske analize podataka za predviđanje rezultata utrka Formule 1
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undergraduate thesis
Primjena metoda statistike i dubinske analize podataka za predviđanje rezultata utrka Formule 1
2023. urn:nbn:hr:168:799593
Borina, Toni
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Borina, T. (2023). Primjena metoda statistike i dubinske analize podataka za predviđanje rezultata utrka Formule 1 (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:799593

Borina, Toni. "Primjena metoda statistike i dubinske analize podataka za predviđanje rezultata utrka Formule 1." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:799593

Borina, Toni. "Primjena metoda statistike i dubinske analize podataka za predviđanje rezultata utrka Formule 1." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:799593

Borina, T. (2023). 'Primjena metoda statistike i dubinske analize podataka za predviđanje rezultata utrka Formule 1', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 09 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:799593

Borina T. Primjena metoda statistike i dubinske analize podataka za predviđanje rezultata utrka Formule 1 [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 July 09] Available at: https://urn.nsk.hr/urn:nbn:hr:168:799593

T. Borina, "Primjena metoda statistike i dubinske analize podataka za predviđanje rezultata utrka Formule 1", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:799593

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Metadata
TitlePrimjena metoda statistike i dubinske analize podataka za predviđanje rezultata utrka Formule 1
Title (english)Application of statistical and data mining methods for predicting the results of Formula 1 races
AuthorToni Borina
MentorDamir Pintar (mentor)
Committee memberDamir Pintar (predsjednik povjerenstva)
Committee memberMihaela Vranić (član povjerenstva)
Committee memberFrano Škopljanac-Mačina (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-03, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U radu je provedena analiza podataka na povijesnim podacima o utrkama Formule 1. Na temelju analize su izvedeni zaključci o značajkama koje bi mogle utjecati na vjerojatnost pobjede vozača. Odabrane su najbitnije značajke i kombinirane u skup podataka koji je korišten za treniranje modela. Problem je tretiran i kao klasifikacijski i kao regresijski pa su korištene prikladne metode strojnog učenja. Prikazani su i uspoređeni rezultati korištenih metoda.
Abstract (english)
In the paper, data analysis was performed on historical data on Formula 1 races. Based on the research, conclusions were drawn about the features that could affect the probability of a driver's victory. The most important features were selected and combined into a dataset that was used to train the model. The problem was treated as both classification and regression, so appropriate machine learning methods were used. The results of the methods used are presented and compared.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:799593
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-07-13 09:57:39