Modeling Techniques in Predictive Analytics, Python Edition: A Guide to Data Science (FT Press Operations Management)
A Guide to Data Science (FT Press Analytics)
Thomas W. Miller
ISBN: | 9780133892062 |
Publisher: | Pearson FT Press |
Published: | 15 October, 2014 |
Format: | Hardcover |
Language: | English |
Editions: |
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Modeling Techniques in Predictive Analytics, Python Edition: A Guide to Data Science (FT Press Operations Management)
A Guide to Data Science (FT Press Analytics)
Thomas W. Miller
Miller's unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you're new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you're already a modeler, programmer, or manager, you'll learn crucial skills you don't already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You'll learn why each problem matters, what data are relevant, and how to explore the data you've identified.
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