The thesis focuses on the creation of categorization models for NBA players during the last four regular seasons, done via Machine Learning techniques. From the categories created, Data Mining methods are then applied, in order to predict the best way for each category to affect the offensive outcome of a game.

Giocatori NBA e la loro categorizzazione: un'analisi utilizzando tecniche di machine learning e data mining

PENNA, FRANCESCO
2022/2023

Abstract

The thesis focuses on the creation of categorization models for NBA players during the last four regular seasons, done via Machine Learning techniques. From the categories created, Data Mining methods are then applied, in order to predict the best way for each category to affect the offensive outcome of a game.
2022
NBA Players and their categorisation: an analysis using Machine Learning and Data Mining Techniques
Data Mining
Machine Learning
Sports Analysis
Data Science
Data Analytics
File in questo prodotto:
File Dimensione Formato  
mscThesisFP_final.pdf

accesso aperto

Dimensione 20.37 MB
Formato Adobe PDF
20.37 MB Adobe PDF Visualizza/Apri

The text of this website © Università degli studi di Padova. Full Text are published under a non-exclusive license. Metadata are under a CC0 License

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/61410