• Savita Sangam
• Sanket Aba Aldar
• Kanishk Mane

Cricket is a widely-followed sport in India and around the world. In latest years, the T-20 version of this sport has grown in reputation. The Indian Premier League (IPL), a match primarily based totally on this system, has grown in reputation in the latest years. Cricket, on the alternative hand, is visible as a sport of chance. Predicting the winner of a match or healthy is likewise a fear amongst fanatics and followers. Meanwhile, technology is advancing at an astonishing pace. Following the schooling of a model, devices getting to know algorithms are used to expect something. As a result, in this study, we appoint a lot of supervised mastering strategies to are expecting the winners of Indian Premier League matches. Team names, match site, toss winner, toss decision, match winner, gained through what number of runs, and umpires’ gift for the match are the various attributes of this system. Logistic regression, selection tree, random forest, SVM, naive Bayes, gradient boost, and KNN are one of the tasks intently monitored approaches.

Machine learning ,Regression models ,Time series analysis ,Ensemble methods ,Data preprocessing ,Feature selection ,Model evaluation, Deployment

"CRICKET SCORE PREDICTION USING MACHINE LEARNING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.88-93, June-2024, Available :http://www.jetir.org/papers/JETIRGH06014.pdf

"CRICKET SCORE PREDICTION USING MACHINE LEARNING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pp88-93, June-2024, Available at : http://www.jetir.org/papers/JETIRGH06014.pdf