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pro vyhledávání: '"Borovčak, Karlo"'
Autor:
Borovčak, Karlo
Ovaj rad istražuje primjenu tehnika strojnog učenja za predviđanje ishoda NCAA košarkaškog turnira. Istraživanje se fokusira na tri popularna algoritma, točnije logističku regresiju, metodu potpornih vektora (SVM) i XGBoost, uspoređujući nj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4131::f2b0a7af703ea9773b2c6cdbbfdaa37e
https://repozitorij.fer.unizg.hr/islandora/object/fer:10807/datastream/PDF
https://repozitorij.fer.unizg.hr/islandora/object/fer:10807/datastream/PDF
Autor:
Borovčak, Karlo
This thesis explores the application of machine learning techniques to predict the outcome of the NCAA basketball tournament. It is centered around three widely used algorithms, logistic regression, support vector machines (SVM), and XGBoost. The obj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::ecf73a45c81aa9493ec73d1d2de618f6
https://www.bib.irb.hr/1281398
https://www.bib.irb.hr/1281398