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Pearson Modeling Techniques in Predictive Analytics with Python a...
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Key Features
Today's definitive, comprehensive guide to using predictive analytics to overcome business challenges – now updated and reorganized for more effective learning! Teaches modeling techniques conceptually, with words and figures – and then mathematically, with the powerful Python language Restructured standalone chapters provide fast access to all the knowledge you need to solve any category of problem Covers segmentation, brand positioning, product choice modeling, pricing, finance, sports analytics, Web/text analytics, social network analysis, and more Helps you leverage traditional techniques, machine learning, data visualization, and statistical graphics Designed for wide applicability and ease of use: requires no linear algebra or advanced math Contains updated source material throughout Now leads directly into Pearson's pioneering Data Science Series: cutting-edge texts on advanced modeling for business managers, modelers, and programmers alike
Title
Modeling Techniques in Predictive Analytics with Python and R - A Guide to Data Science
Publication Year
2018 9
Number of Pages
448
Product Form
Paperback
Publisher
Pearson
ISBN13
9789353065737
Book Category
Fiction Books
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