Visualization and forecasting of Indian premier league Using Machine learning

Computer Engineering

Abstract—The area of computer science that is expanding is data mining and machine learning in sports analytics. Playing cricket is a widely favored team sport across the globe. As the largest T20 cricket festival in the world, we hope to forecast the result of an Indian Premier League (IPL) cricket match. Creating a reliable system to forecast cricket match results is the goal of this research. Many pregame and in-game factors, such as the location, previous performance records, and the toss, primarily affect the outcome of a Twenty20 cricket match. The exploration, modeling, and visualization of data related to the Indian Premier League are other key objectives of this project. Various supervised machine learning techniques (Random Forest Classifier) and statistical methods will be employed to forecast the optimal result of a particular match. This will be housed on an easily navigable online application that is compatible with all browsers for convenient access and utilization of the result.

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