Modeling Techniques In Predictive Analytics With Python And R: A Guide To Data Science (FT Press Analytics)

Modeling Techniques In Predictive Analytics With Python And R: A Guide To Data Science (FT Press Analytics)

Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science (FT Press Analytics)

Master predictive analytics, from start to finish

 

Start with strategy and management

Master methods and build models

Transform your models into highly-effective code—in both Python and R

 

This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math.

 

Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value.

 

Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code.

 

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