Naslov
A machine learning approach to predicting a basketball game outcome

Autori
Poch Alonso, Roger

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

Fakultet
Fakultet elektrotehnike i računarstva

Mjesto
Zagreb

Datum
12.07

Godina
2019

Stranica
36

Mentor
Bagić Babac, Marina

Ključne riječi
machine learning ; data mining ; NBA

Sažetak
The outcome of a basketball match depends on many factors, such as the morale of a team or a player, skills, coaching strategy and many others. This, it is a challenging task to predict the exact results of individual matches. The goal of this thesis is to learn from historical data about previous basketball games, including both individual and team features, in an attempt to predict future matches. It is to evaluate the advantages and disadvantages of existing machine learning systems and to apply the best practices focusing on a case study of NBA. In addition, a comparison between different machine learning algorithms in search of the most accurate prediction is to be provided.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA