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Author: Tom Stammers
Publisher: Cambridge University Press
ISBN: 1108478840
Category : Art
Languages : en
Pages : 375
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Book Description
Offers a broad and vivid overview of the culture of collecting in France over the long nineteenth-century.
Author: Tom Stammers
Publisher: Cambridge University Press
ISBN: 1108478840
Category : Art
Languages : en
Pages : 375
Get Book
Book Description
Offers a broad and vivid overview of the culture of collecting in France over the long nineteenth-century.
Author: Tom Stammers
Publisher: Cambridge University Press
ISBN: 1108478840
Category : Art
Languages : en
Pages : 375
Get Book
Book Description
Offers a broad and vivid overview of the culture of collecting in France over the long nineteenth-century.
Author: Minnesota Historical Society
Publisher:
ISBN:
Category :
Languages : en
Pages : 832
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Book Description
Author:
Publisher:
ISBN:
Category : Bengal (India)
Languages : en
Pages : 110
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Book Description
Author: James Kasal
Publisher:
ISBN:
Category :
Languages : en
Pages : 44
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Book Description
Author: New Zealand. Parliament
Publisher:
ISBN:
Category : New Zealand
Languages : en
Pages : 1468
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Book Description
Author:
Publisher:
ISBN:
Category : Natural history
Languages : en
Pages : 648
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Book Description
Author: James Augustus Henry Murray
Publisher:
ISBN:
Category : English language
Languages : en
Pages : 1700
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Book Description
Author: Paul Axel Clarence Eke
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 430
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Book Description
Author: Bradford Tuckfield
Publisher: No Starch Press
ISBN: 1718502885
Category : Computers
Languages : en
Pages : 289
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Book Description
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 demand Optimize marketing campaigns Reduce customer attrition Predict website traffic Build recommendation systems With 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!
