Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science, 1st edition

Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science

ISBN-13:  9780133892062

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