CRICKET RESERCH PAPEfdfffffffffffffR.pptx

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1. Cricket DATA ANALYSIS RESEARCH PAPER

2. INTRODUCTION Title: Cricket Data Analytics: Leveraging Machine Learning and AI for Enhanced Performance Introduction Cricket as a popular and exciting sport Increasing data related to cricket matches and players Need for data analysis and evaluation for accurate insights Proposal of records evaluation formulation for ranking and selection of cricket players Use of Indian Premier League dataset for team selection Advantages of objective data analysis using a linear programming model Formation of national cricket teams or top cricketer teams

3. Literature Review Overview of previous studies Application of statistical techniques for predicting match outcomes Use of data mining techniques for outcome prediction Comparison of accuracy rates of different prediction methods Introduction of Cricket Outcome Predictor system Evaluation of classifiers in predicting match outcomes

4. Methodology

5. Data Pre-processing and Exploration Analysis

6. System Analysis and Future Scope System Analysis Overview of data analytics process for building successful cricket teams Steps involved: data collection, data cleaning, statistical analysis, machine learning, and data visualization Importance of clear and concise presentation of results through visualizations Future Scope Real-time Analytics: Monitoring player and team performance during matches Machine Learning: Analyzing large volumes of data to identify patterns and trends Predictive Analytics: Using historical data to predict match outcomes Player Performance Management: Identifying areas of improvement and providing targeted training Fan Engagement: Providing real-time insights and analysis for enhanced fan experiences

7. This Photo by Unknown author is licensed under CC BY-SA .