prikaz prve stranice dokumenta Predviđanje količine prodaje proizvoda zasnovano na modelima strojnog učenja
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master's thesis
Predviđanje količine prodaje proizvoda zasnovano na modelima strojnog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:724704
Smolčec, Šimun
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Smolčec, Š. (2023). Predviđanje količine prodaje proizvoda zasnovano na modelima strojnog učenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:724704

Smolčec, Šimun. "Predviđanje količine prodaje proizvoda zasnovano na modelima strojnog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:724704

Smolčec, Šimun. "Predviđanje količine prodaje proizvoda zasnovano na modelima strojnog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:724704

Smolčec, Š. (2023). 'Predviđanje količine prodaje proizvoda zasnovano na modelima strojnog učenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:724704

Smolčec Š. Predviđanje količine prodaje proizvoda zasnovano na modelima strojnog učenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:168:724704

Š. Smolčec, "Predviđanje količine prodaje proizvoda zasnovano na modelima strojnog učenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:724704

Metadata
TitlePredviđanje količine prodaje proizvoda zasnovano na modelima strojnog učenja
Title (english)Prediction of product sales using machine learning models
AuthorŠimun Smolčec
MentorGoran Delač (mentor)
Committee memberGoran Delač (predsjednik povjerenstva)
Committee memberMarin Šilić (član povjerenstva)
Committee memberKlemo Vladimir (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-04, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu objašnjen je postupak predviđanja količine prodaje proizvoda pomoću modela zasnovanih na strojnom učenju. Objašnjen je cijeli postupak od pripreme podataka do odabira i učenja modela. Modeli su isprobani na univarijantnom i multivarijantnom skupu podataka. Isprobani su sljedeći modeli: LGBM, XGBoost, Catboost, Hrbatna regresija, Hist Gradient Boosting, Huberova regresija, Kneighbors, Holt winters, Povijesni prosjek, Optimized Theta i MSTL. Modeli koji su zasnovani na stablima odluke i gradient boostingu su se pokazali najbolji za isprobani multivarijantni skup, a na isprobanom univarijantnom skupu podataka HistGradientBoosting model se pokazao kao najprecizniji.
Abstract (english)
This paper explains the process of forecasting the amount of product sales using models based on machine learning. The entire process from data preparation to model selection and training is explained. The models were tested on univariate and multivariate datasets. The following models were tested: LGBM, XGBoost, Catboost, Ridge regression, Hist Gradient Boosting, Huber regression, Neighbors, Holt winters, Historic average, Optimized Theta and MSTL. Models based on decision trees and gradient boosting proved to be the best for the tested multivariate dataset, and on the tested univariate dataset the HistGradientBoosting model proved to be the most accurate.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:724704
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
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Created on2023-10-11 10:28:19