Project: Exploratory Data Analysis on Dataset: 'Indian Premier League'
- Undertook an in-depth analysis of a sports-related dataset, utilizing a range of Python libraries, including NumPy, Pandas, Matplotlib, and Seaborn, to conduct Exploratory Data Analysis (EDA). This involved a comprehensive examination of the dataset, accompanied by insightful data visualizations to uncover underlying patterns and trends.
Eg: Affect of Toss on match,
What is more effective for a team to bat or field first,
Top scorers and Bowlers in their respective seasons,
Impact of top players on the match etc.
- Extracted valuable insights from the EDA, which played a pivotal role in optimizing strategies and decision-making within the realm of sports. This project contributed to enhanced performance, resource allocation, and overall competitiveness by identifying critical factors and trends within the sports dataset, leading to data-driven improvements and informed choices.