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9781718502888: Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges
  • PublisherNo Starch Press
  • Publication date2023
  • ISBN 10 1718502885
  • ISBN 13 9781718502888
  • BindingPaperback
  • LanguageEnglish
  • Number of pages288
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    • 4.31 out of 5 stars
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Paperback. Condition: new. Paperback. Learn how to use data science and Python to solve everyday business problems.Learn how to use data science and Python to solve everyday business problems.Dive into the exciting world of data science with this practical introduction. Packed with essential skills and useful examples, Dive Into Data Science will show you how to obtain, analyze, and visualize data so you can leverage its power to solve common business challenges.With only a basic understanding of Python and high school math, you'll be able to effortlessly work through the book and start implementing data science in your day-to-day work. From improving a bike sharing company to extracting data from websites and creating recommendation systems, you'll discover how to find and use data-driven solutions to make business decisions.Topics covered include conducting exploratory data analysis, running A/B tests, performing binary classification using logistic regression models, and using machine learning algorithms.You'll also learn how to-Forecast consumer demandOptimize marketing campaignsReduce customer attritionPredict website trafficBuild recommendation systemsWith this practical guide at your fingertips, harness the power of programming, mathematical theory, and good old common sense to find data-driven solutions that make a difference. Don't wait; dive right in! "Learn how to apply the principles of data science to improve business strategies. Chapters cover concepts such as A/B testing, supervised and unsupervised machine learning, web scraping, and more. Each concept is illustrated using real-world business applications, real-world data, and useful Python code examples"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781718502888

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