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
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:799593

Borina, Toni
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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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 01 September 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 September 01] 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