IPL Data Analysis and Visualization Using Microsoft Power BI Tool

Cricket represents the most popular activity in India, and it is played there in all of its regions in various formats. Indian regional teams, international competitions all field players in the Indian Premier League (IPL), a national cricket championship. Cricket involves lots of data, analysis, prediction and statistics. Several parameters can be used to predict the outcome of a cricket match. This paper's main topics are the process model, Microsoft Power BI operations like numerous related graphical insights, dashboards, visualizations. To make accurate visualizations, predictions about things like the actual and predicted team's score and the likelihood that the team will win, overall match analysis by currently available data, Using machine learning models and Power BI tools. The research started by using Python libraries used in Power BI. The IPL match data played between 2008 and 2022, then moved on to per-processing, data analysis, and visualization, and finally developed a dashboard and reports that forecasts the teams' overall score and likelihood of winning. It is concerned with the interactive visualization of IPL databases utilizing the various modules of the Microsoft Power BI Tool and the Random Forest algorithm outperforms other algorithms in terms of accuracy, scoring 93.27 %.