Football Analytics with Python & R: Learning Data Science Through the Lens of Sports - Brossura

Eager, Eric A.; Erickson, Richard A.

 
9781492099628: Football Analytics with Python & R: Learning Data Science Through the Lens of Sports
Brossura
ISBN 10: 1492099627 ISBN 13: 9781492099628
Casa editrice: O'Reilly Media, 2023

Sinossi

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

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
O'Reilly Media
Data di pubblicazione
2023
Lingua
Inglese
ISBN 10 
1492099627
ISBN 13 
9781492099628
Rilegatura
Copertina flessibile
Numero di pagine
327
Contatto del produttore
O'Reilly
https://oreilly.com

1005 Gravenstein Highway North
Sebastopol
CA
95472
U.S.A.
Persona responsabile
gpsr@libri.de
gpsr@libri.de

Europaallee 1
Bad Hersfeld
36244
Germania