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Football Analytics With Python & R : Learning Data Science Through the Lens o...

Description: Football Analytics With Python & R : Learning Data Science Through the Lens of Sports, Paperback by Eager, Eric A.; Erickson, Richard A., ISBN 1492099627, ISBN-13 9781492099628, Brand New, Free shipping in the US Baseball is not the only sport to use "moneyball." American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. Professional and college teams use data to help select players and identify team needs. Fans use data to guide fantasy team picks and strategies. Sports bettors and fantasy football players are using data to help inform decision making. This concis provides a clear introduction to using statistical models to analyze football data. Whether your goal is to produce a winning team, dominate your fantasy football league, qualify for an entry-level football analyst position, or simply learn R and Python using fun example cases, this book is your starting place. You'll learn how to:Apply basic statistical concepts to football datasetsDescribe football data with quantitative methodsCreate efficient workflows that offer reproducible results Use data science skills such as web scraping, manipulating data, and plotting dataImplement statistical models for football dataLink data summaries and model outputs to create reports or presentations using tools such as R Markdown and R ShinyAnd more

Price: 48.89 USD

Location: Jessup, Maryland

End Time: 2024-10-31T09:16:06.000Z

Shipping Cost: 0 USD

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Football Analytics With Python & R : Learning Data Science Through the Lens o...

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 14 Days

Refund will be given as: Money Back

Book Title: Football Analytics With Python & R : Learning Data Science Throug

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

Publication Year: 2023

Item Height: 0.8 in

Subject: Mathematical & Statistical Software, Probability & Statistics / General, Data Visualization, Gambling / Sports, Football, Programming Languages / Python, Recreations & Games

Type: Textbook

Item Weight: 21.9 Oz

Item Length: 9.2 in

Author: Eric A. Eager, Richard A. Erickson

Subject Area: Mathematics, Computers, Sports & Recreation, Games & Activities

Item Width: 7 in

Format: Trade Paperback

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