Investigation and Analyses of Data Processing Through Sports Using Scripting Language: A Novel Paradigm

Every business firm is implementing the newest technology to expand their businesses as a result of the expansion in the field of Data science. In the market, there is competition for better management, higher evaluation quality, and improved facilities. The sole means of accomplish all of these traits is to carry out data examination with greater accuracy and purity. With the use of existing data, machine learning helps to predict future outcomes so that decisions can be improved. Cricket is a popular sport that is played and viewed throughout worldwide. Many of these cricket supporters hope that their team will perform well and get the victory. Teams should improve their individual and team performances if they want to win. The ability to envisage the winner of a test match is affected by a variety of variables, including team strengths, ground and weather. A detailed investigation has been used to anticipate the game’s match winner through several criteria that have been examined in this paper. This paper discusses guessing the champion of a cricket competition before it began. Different machine learning methods, including Random Forest, SVM, and Decision Tree, have been applied to test and learning information set of various size for this model-building purpose. The predictive algorithm will be useful for the International Cricket Council in terms of cricket analysis and team strength evaluation. This model will help the implementations for betting and tournament media.