Eager, Eric
Football Analytics with Python & R: Learning Data Science Through the Lens of Sports
- ISBN 13:
- 9781492099628
- author:
- Eager, Eric
- format:
- Paperback
- publisher:
- O'Reilly Media
- language:
- English
- Publication Year:
- 2023
- Pages:
- 300
- Dimensions:
- 23.3 x 17.8 x 1.9 centimetres (0
- Genre:
- Computers, Programming, Python,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Football Analytics with Python & R provides a clear introduction to using statistical models to analyze football data. This concise book covers both Python and R, helping you learn these programming languages while exploring example cases in the sport. You'll discover how to obtain NFL data from packages and web scraping, visualize and explore it, apply regression models to play-by-play data, extend them to classification problems, and understand player athletic attributes using multivariate statistics. Whether your goal is to qualify for a football analyst position or simply learn R and Python with fun example cases, this book is an ideal starting point. By working through case studies in both Python and R, you'll gain practical skills in data science and its application to sports betting and fantasy football.
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