A unique book that centers around develop six key practical skills needed to develop and implement predictive analytics
Apply the principles and techniques of predictive analytics to effectively interpret big data
Solve real-world analytical problems with the help of practical case studies and real-world scenarios taken from the world of healthcare, marketing, and other business domains

Who This Book Is For

This book is for those with a mathematical/statistics background who wish to understand the concepts, techniques, and implementation of predictive analytics to resolve complex analytical issues. Basic familiarity with a programming language of R is expected.

What You Will Learn

Master the core predictive analytics algorithm which are used today in business
Learn to implement the six steps for a successful analytics project
Classify the right algorithm for your requirements
Use and apply predictive analytics to research problems in healthcare
Implement predictive analytics to retain and acquire your customers
Use text mining to understand unstructured data
Develop models on your own PC or in Spark/Hadoop environments
Implement predictive analytics products for customers

In Detail

This is the go-to book for anyone interested in the steps needed to develop predictive analytics solutions with examples from the world of marketing, healthcare, and retail. We'll get started with a brief history of predictive analytics and learn about different roles and

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Descrizione libreria

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