Thomas W. Miller's Modeling Techniques in Predictive Analytics with Python and PDF

By Thomas W. Miller

grasp predictive analytics, from begin to end   begin with technique and administration grasp equipment and construct versions remodel your types into highly-effective code—in either Python and R   This unique e-book can help you utilize predictive analytics, Python, and R to resolve actual company difficulties and force actual aggressive virtue. You’ll grasp predictive analytics via reasonable case stories, intuitive facts visualizations, and up to date code for either Python and R—not complicated math.   step-by-step, you’ll stroll via defining difficulties, deciding on information, crafting and optimizing types, writing potent Python and R code, reading effects, and extra. every one bankruptcy specializes in certainly one of today’s key functions for predictive analytics, providing talents and information to place types to work—and maximize their worth.   Thomas W. Miller, chief of Northwestern University’s pioneering software in predictive analytics, addresses every thing you must be successful: technique and administration, tools and types, and expertise and code.   If you’re new to predictive analytics, you’ll achieve a robust origin for attaining actual, actionable effects. If you’re already operating within the box, you’ll grasp strong new talents. If you’re conversant in both Python or R, you’ll detect how those languages supplement one another, allowing you to do much more.   All facts units, large Python and R code, and extra examples on hand for obtain at   Python and R provide vast strength in predictive analytics, info technology, and massive information. This e-book can assist you leverage that energy to resolve genuine enterprise difficulties, and force actual aggressive virtue.   Thomas W. Miller’s specified balanced technique combines company context and quantitative instruments, illuminating each one method with rigorously defined code for the most recent models of Python and R. If you’re new to predictive analytics, Miller supplies a powerful origin for attaining actual, actionable effects. If you’re already a modeler, programmer, or supervisor, you’ll research an important abilities you don’t have already got.   utilizing Python and R, Miller addresses a number of company demanding situations, together with segmentation, model positioning, product selection modeling, pricing study, finance, activities, textual content analytics, sentiment research, and social community research. He illuminates using cross-sectional info, time sequence, spatial, and spatio-temporal information.   You’ll examine why every one challenge concerns, what info are appropriate, and the way to discover the knowledge you’ve pointed out. Miller publications you thru conceptually modeling every one facts set with phrases and figures; after which modeling it back with reasonable code that supplies actionable insights.   You’ll stroll via version development, explanatory variable subset choice, and validation, studying most sensible practices for making improvements to out-of-sample predictive functionality. Miller employs facts visualization and statistical pictures that can assist you discover information, current types, and evaluation functionality. Appendices contain 5 entire case stories, and a close primer on smooth info technological know-how tools.   Use Python and R to realize strong, actionable, ecocnomic insights approximately: advertisements and merchandising buyer choice and selection marketplace baskets and similar purchases financial forecasting Operations administration Unstructured textual content and language buyer sentiment model and cost activities workforce functionality and lots more and plenty extra  

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Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science (FT Press Analytics) by Thomas W. Miller

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