prikaz prve stranice dokumenta Primjena statističke i dubinske analize podataka u sportskoj domeni
No public access
undergraduate thesis
Primjena statističke i dubinske analize podataka u sportskoj domeni
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:220767
Vlaić, Marin
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Vlaić, M. (2019). Primjena statističke i dubinske analize podataka u sportskoj domeni (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:220767

Vlaić, Marin. "Primjena statističke i dubinske analize podataka u sportskoj domeni." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:220767

Vlaić, Marin. "Primjena statističke i dubinske analize podataka u sportskoj domeni." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:220767

Vlaić, M. (2019). 'Primjena statističke i dubinske analize podataka u sportskoj domeni', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 30 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:220767

Vlaić M. Primjena statističke i dubinske analize podataka u sportskoj domeni [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 November 30] Available at: https://urn.nsk.hr/urn:nbn:hr:168:220767

M. Vlaić, "Primjena statističke i dubinske analize podataka u sportskoj domeni", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:220767

Metadata
TitlePrimjena statističke i dubinske analize podataka u sportskoj domeni
Title (english)Statistical and Data Mining Analysis in the Sports Domain
AuthorMarin Vlaić
MentorDamir Pintar (mentor)
Committee memberDamir Pintar (predsjednik povjerenstva)
Committee memberLuka Humski (član povjerenstva)
Committee memberFrano Škopljanac-Mačina (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj završni rad pruža uvid u primjenu statistike i metoda strojnog učenja na primjeru NBA košarkaških utakmica. Opisuje se postupak prikupljanja podataka, zatim se prikupljeni podaci obrađuju prikladnim statističkim metodama i na kraju je predstavljen jednostavan model za predikciju rezultata utakmica koji koristi SVM algoritam. Praktični dio se sastoji od python programske skripte za prikupljanje podataka i tri izvješća koji obrađuju podatke i jedno koje opisuje postupak primjene strojnog učenja napisani u programskom jeziku R.
Abstract (english)
This thesis describes applications of statistical and data mining methods. The application domain is NBA basketball. This thesis presents data collection and application of statistical methods on the collected data. In the end, a simple machine learning model is described that predicts the outcome of an NBA basketball game. The Machine learning model uses the SVM algorithm. Practical part is composed of one python web scraping script, three statistical reports and one machine learning report written in the R programming language.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:220767
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
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2020-01-07 22:54:37