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