The Game Of Numbers

Chordia, Sahil Santosh (2023) The Game Of Numbers. Masters thesis, Dublin, National College of Ireland.

Preview	PDF (Master of Science) Download (3MB) | Preview
Preview	PDF (Configuration manual) Download (2MB) | Preview

Abstract

As the analysis of massive data-sets connected to sports performance has grown in importance within the sporting environment, the relevance of specialists and analysts with prior training in data analytics increases. Sports analysis has been a hot topic for development and research in a number of areas, including field analytics, scouting analysis, and sports betting. Field analytics has been used for making game strategies, player selections for a game, etc. As field analysis helps teams to improve their success percentage in a league and get ahead of their opponents before the game starts, many teams have invested a hefty amount of resources in analytics. This paper studies Gaussian Naive Bayes and its implementations to predict a potential value of a player in football, which could help coaches and management staff as a decision support system to team for a game. This paper also focuses on how a classification algorithm solves a regression problem and whether it needs any method to convert continuous data into categorical data.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Anant, Aaloka UNSPECIFIED
Uncontrolled Keywords:	Data analytics; Field analytics; Potential; Decision Support System; Gaussian Naive Bayes; Classification Algorithm; Regression Problem; Continuous data
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science G Geography. Anthropology. Recreation > GV Recreation Leisure > Sports > Soccer Q Science > QA Mathematics > Algebra > Algorithms > Computer algorithms G Geography. Anthropology. Recreation > GV Recreation Leisure > Games and Amusements > Gambling
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Tamara Malone
Date Deposited:	17 May 2023 16:22
Last Modified:	17 May 2023 16:22
URI:	https://norma.ncirl.ie/id/eprint/6579

Actions (login required)

View Item