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The Game Of Numbers

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

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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)
Anant, Aaloka
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

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