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IPL Match Data Analytics Using Python

Analyzed 289k+ IPL ball-by-ball records to uncover toss impact, phase-wise scoring trends, and top player performances using Python and data visualization.

Jyoshna ChoudhuryIPL Match Data Analytics Using Python

289k+ IPL deliveries analyzed

Overview

Analyzed IPL data to identify team trends, player performance, and match insights. Process Cleaned data, performed EDA, created graphs using Pandas and Matplotlib libraries. Results Generated useful IPL insights through visual analysis and trend identification. Reflection Add interactive dashboards and machine learning for match outcome prediction.

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