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master's thesis
Analiza i prognoza vremenskih serija primjenom metoda strojnog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:079219
Klepo, Filip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Klepo, F. (2020). Analiza i prognoza vremenskih serija primjenom metoda strojnog učenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:079219

Klepo, Filip. "Analiza i prognoza vremenskih serija primjenom metoda strojnog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:079219

Klepo, Filip. "Analiza i prognoza vremenskih serija primjenom metoda strojnog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:079219

Klepo, F. (2020). 'Analiza i prognoza vremenskih serija primjenom metoda strojnog učenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 05 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:079219

Klepo F. Analiza i prognoza vremenskih serija primjenom metoda strojnog učenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 November 05] Available at: https://urn.nsk.hr/urn:nbn:hr:168:079219

F. Klepo, "Analiza i prognoza vremenskih serija primjenom metoda strojnog učenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:079219

Metadata
TitleAnaliza i prognoza vremenskih serija primjenom metoda strojnog učenja
Title (english)Analysis and Prediction of Time Series Using Machine Learning Methods
AuthorFilip Klepo
MentorMarin Šilić (mentor)
Committee memberMarin Šilić (predsjednik povjerenstva)
Committee memberKlemo Vladimir (član povjerenstva)
Committee memberGoran Delač (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U radu se definira pojam vremenskih serija, a potom se definiraju tehnike analize i predviđanja. Koriste se ARIMA i ETS modeli koji su popularan izbor za predviđanje vremenskih serija. Za implementaciju se koristi programski jezik Python i popratne knjižnice koda za analizu, predviđanje i iscrtavanje vremenskih serija.
Abstract (english)
The thesis defines time series and introduces techniques for their analysis and forecasting. ARIMA and ETS models are chosen as forecasting methods as they are a popular choice. Implementation is done in Python programming language, using publicly available code libraries for analysis, prediction and plotting of time series.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:079219
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-13 10:10:17