dc.contributor.author |
Mohamed, Shazni |
|
dc.date.accessioned |
2023-01-23T07:30:46Z |
|
dc.date.available |
2023-01-23T07:30:46Z |
|
dc.date.issued |
2022 |
|
dc.identifier.citation |
Mohamed, Shazni (2022) Natinal basketball association match winning prediction based on overall team performance model . BSc. Dissertation, Informatics Institute of Technology |
en_US |
dc.identifier.issn |
2018549 |
|
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/1520 |
|
dc.description.abstract |
Through the use of this study, our objective is to deliver to accurate results for predicting who will win NBA matches. In this area, there is a wealth of prior research, all of which suffers from significant methodological limitations. The fundamental objective of this research is to develop a reliable model that can produce results with a high degree of precision. Research into a variety of models and methods of machine learning is necessary in order to establish what, if anything, has been done up to this point in order to predict the results of NBA games. After conducting an in-depth analysis of the data, the system model was developed using Python in conjunction with a variety of different machine learning strategies. |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
National Basketball Association |
en_US |
dc.subject |
Prediction Systems |
en_US |
dc.title |
Natinal basketball association match winning prediction based on overall team performance model |
en_US |
dc.type |
Thesis |
en_US |