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master's thesis
Primjena strojnog učenja u predviđanju globalne prodaje video igara
2024. urn:nbn:hr:200:499564
Prpić, Nikola
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

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Prpić, N. (2024). Primjena strojnog učenja u predviđanju globalne prodaje video igara (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:499564

Prpić, Nikola. "Primjena strojnog učenja u predviđanju globalne prodaje video igara." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:499564

Prpić, Nikola. "Primjena strojnog učenja u predviđanju globalne prodaje video igara." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:499564

Prpić, N. (2024). 'Primjena strojnog učenja u predviđanju globalne prodaje video igara', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 17 February 2025, https://urn.nsk.hr/urn:nbn:hr:200:499564

Prpić N. Primjena strojnog učenja u predviđanju globalne prodaje video igara [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2024 [cited 2025 February 17] Available at: https://urn.nsk.hr/urn:nbn:hr:200:499564

N. Prpić, "Primjena strojnog učenja u predviđanju globalne prodaje video igara", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:200:499564

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Metadata
TitlePrimjena strojnog učenja u predviđanju globalne prodaje video igara
Title (english)Application of machine learning in predicting global sales of video games
AuthorNikola Prpić
MentorČaslav Livada (mentor)
MentorIvana Hartmann Tolić (sumentor)
Committee memberČaslav Livada (predsjednik povjerenstva)
Committee memberAlfonzo Baumgartner (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2024-10-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
U ovom diplomskom radu primijenjeni su razni algoritmi strojnog učenja, kao što su linearna regresija, slučajne šume (RF), neuronske mreže i drugi. Cilj je bio međusobno ih usporediti te prikazati rezultate dobivene primjenom svakog od njih. Projekt je izrađen u programskom okruženju PyCharm, a implementacija algoritama provedena je koristeći programski jezik Python. Uz Python, korištene su i razne biblioteke poput NumPy, Pandas, Scikit-Learn, TensorFlow i drugih. Rad također obuhvaća pregled drugih istraživanja koja se bave sličnom tematikom. Pomoću modela razvijenih ovim algoritmima predviđale su se globalne prodaje video igara te su ti rezultati uspoređeni sa stvarnim vrijednostima.
Abstract (english)
In this thesis, various machine learning algorithms, such as linear regression, random forests (RF), neural networks, and others, were applied. The goal was to compare these algorithms with one another and present the results obtained from each. The project was developed in the PyCharm environment, with the implementation of algorithms carried out using the Python programming language. In addition to Python, various libraries such as NumPy, Pandas, Scikit-Learn, TensorFlow, and others were used. The thesis also includes a review of other studies addressing similar topics. The models developed using these algorithms were employed to forecast global video game sales, and the predicted results were compared with actual values.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:499564
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka računarstva (sveučilišni/a magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-10-29 07:23:25