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Predictive Analytics for Cricket

Data Analysis and Visualization: Jupyter Notebook, Google Colab, PowerBI
Libraries: Pandas, Numpy, Matplotlib, Seaborn
This project focuses on developing a predictive analytics system for cricket, intended to track, monitor, select, and evaluate player performance. The system is designed to identify top-tier cricketers, evaluating them based on criteria like power hitting, strike rate, overall value, skill in critical situations, and training needs. Initially crafted for cricket, the intention is to extend this framework to other sports such as football, kabaddi, and hockey in future phases.
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