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Pregled bibliografske jedinice broj: 1256695

The use of predictive analysis in basketball


Korać, Ivan Ukaš
The use of predictive analysis in basketball, 2023., diplomski rad, preddiplomski, Fakultet elektrotehnike i računarstva, Zagreb


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Naslov
The use of predictive analysis in basketball

Autori
Korać, Ivan Ukaš

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, preddiplomski

Fakultet
Fakultet elektrotehnike i računarstva

Mjesto
Zagreb

Datum
23.02

Godina
2023

Stranica
42

Mentor
Bagić Babac, Marina

Ključne riječi
basketball ; NBA ; player ; statistics ; machine learning ; algorithm ; data ; dataset ; attribute ; feature

Sažetak
The availability of many online data resources and state-of-the-art machine learning algorithms have opened new perspectives on the challenging task of predicting the outcomes of basketball matches. The goal of this thesis is to use data from previous basketball games ranging from individual player features such as player positions, statistics, and ratings, to team features and statistics to predict the outcome of future matches. The comparison with the advantages and disadvantages of existing machine learning algorithms in their application in a case study of NBA will be presented, elaborated, and discussed.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Marina Bagić Babac (mentor)


Citiraj ovu publikaciju:

Korać, Ivan Ukaš
The use of predictive analysis in basketball, 2023., diplomski rad, preddiplomski, Fakultet elektrotehnike i računarstva, Zagreb
Korać, I. (2023) 'The use of predictive analysis in basketball', diplomski rad, preddiplomski, Fakultet elektrotehnike i računarstva, Zagreb.
@phdthesis{phdthesis, author = {Kora\'{c}, Ivan Uka\v{s}}, year = {2023}, pages = {42}, keywords = {basketball, NBA, player, statistics, machine learning, algorithm, data, dataset, attribute, feature}, title = {The use of predictive analysis in basketball}, keyword = {basketball, NBA, player, statistics, machine learning, algorithm, data, dataset, attribute, feature}, publisherplace = {Zagreb} }
@phdthesis{phdthesis, author = {Kora\'{c}, Ivan Uka\v{s}}, year = {2023}, pages = {42}, keywords = {basketball, NBA, player, statistics, machine learning, algorithm, data, dataset, attribute, feature}, title = {The use of predictive analysis in basketball}, keyword = {basketball, NBA, player, statistics, machine learning, algorithm, data, dataset, attribute, feature}, publisherplace = {Zagreb} }




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