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Football Analytics with Python & R: Learning Data Science Through the Lens of Sports
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À propos de cet article :
Marque : GENERIC
Vendu par HEAVENBOOKS.MA
Baseball is not the only sport to use "moneyball." American football teams, fantasy football players, fans, and gamblers are increasingly using data to gain an edge on the competition. Professional and college teams use data to help identify team needs and select players to fill those needs. Fantasy football players and fans use data to try to defe...
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Description produit
- Marque
- GENERIC
- Titre
- Football Analytics with Python & R: Learning Data Science Through the Lens of Sports
- Éditeur
- O'Reilly Media
- Type de produit
- paperback
- Présentation du livre
- paperback
- Date de sortie
- 9/19/2023 12:00:00 AM
- Langue d'origine
- English
- ISBN
- 1492099627
- Nombre de pages
- 349 pages
- Langue
- English
- Résumé
- Baseball is not the only sport to use "moneyball." American football teams, fantasy football players, fans, and gamblers are increasingly using data to gain an edge on the competition. Professional and college teams use data to help identify team needs and select players to fill those needs. Fantasy football players and fans use data to try to defeat their friends, while sports bettors use data in an attempt to defeat the sportsbooks. In this concise book, Eric Eager and Richard Erickson provide a clear introduction to using statistical models to analyze football data using both Python and R. Whether your goal is to qualify for an entry-level football analyst position, dominate your fantasy football league, or simply learn R and Python with fun example cases, this book is your starting place. Through case studies in both Python and R, you'll learn to: Obtain NFL data from Python and R packages and web scraping Visualize and explore data Apply regression models to play-by-play data Extend regression models to classification problems in football Apply data science to sports betting with individual player props Understand player athletic attributes using multivariate statistics Read more
- Auteur
- Eric A. Eager, Richard A. Erickson
- Date de parution
- 9/19/2023 12:00:00 AM









