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A Survey on Predicting Player’s Performance and Team Recommendation in Game of Cricket Using Machine Learning

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dc.contributor.author Biswas, Milon
dc.contributor.author Akhund, Tajim Md. Niamat Ullah
dc.contributor.author Mahbub, Md. Kawsher
dc.contributor.author Islam, Sikder Md. Saiful
dc.contributor.author Sorna, Sadia
dc.contributor.author Kaiser, M. Shamim
dc.date.accessioned 2024-04-04T04:09:54Z
dc.date.available 2024-04-04T04:09:54Z
dc.date.issued 2022-05-20
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/11962
dc.description.abstract Machine learning in sports analytics is a hot field in computer science. Using machine learning algorithms, we can predict the outcome of a game or performance of teams or individual players and building new strategies for upcoming competitions. Cricket is one of the foremost popular games in the world. Choosing the right player is one of the most challenging work for all kinds of sport and no exception in cricket. In the field of machine learning, several algorithms are used for prediction and classifications. Machine learning algorithms like linear regression, support vector machine, random forest, and naive Bayes with linear and polynomial kernel showed good results to predict the runs scored by a batsman and runs given by a bowler. In this work, we explored the techniques that have been applied to solve the challenges in cricket. en_US
dc.language.iso en_US en_US
dc.publisher Springer en_US
dc.subject Machine learning en_US
dc.subject Computer science en_US
dc.subject Algorithms en_US
dc.title A Survey on Predicting Player’s Performance and Team Recommendation in Game of Cricket Using Machine Learning en_US
dc.type Article en_US


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