Description: Title: Football Analytics with Python & R: Learning Data Science Through the Lens of Sports Author: Eager, Eric Publisher: O'Reilly Media Binding: Paperback Pages: 349 Dimensions: 9.10h x 6.80w x 0.90d Product Weight: 1.23 lbs. Language: English ISBN: 9781492099628 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 Ships Fast From The USA! Authorized Dealer
Price: 70.99 USD
Location: La Vergne, Tennessee
End Time: 2024-11-22T22:58:57.000Z
Shipping Cost: 9.95 USD
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Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Book Title: O'Reilly Media
Number of Pages: 349 Pages
Publication Name: Football Analytics with Python and R : Learning Data Science Through the Lens of Sports
Language: English
Publisher: O'reilly Media, Incorporated
Subject: Mathematical & Statistical Software, Probability & Statistics / General, Data Visualization, Gambling / Sports, Football, Programming Languages / Python, Recreations & Games
Publication Year: 2023
Item Height: 0.8 in
Item Weight: 21.9 Oz
Type: Textbook
Subject Area: Mathematics, Computers, Sports & Recreation, Games & Activities
Item Length: 9.2 in
Author: Richard Erickson, Eric Eager
Item Width: 7 in
Format: Trade Paperback
