Affiliation:
1. National Textile University, Pakistan
Abstract
The chapter explores the use of machine learning, data science, and Python in the context of cricket analytics. It highlights the importance of interdisciplinary collaboration and its potential to enhance the accuracy and speed of cricket analytics. It discusses the various data sources that can be used for cricket analytics and how machine learning algorithms can extract valuable insights. The chapter also provides an overview of various Python libraries commonly used in cricket analytics and explains how they can be used for data cleaning, feature engineering, and model building. Additionally, the chapter discusses the challenges and limitations of cricket analytics and provides suggestions for future research directions.