Practical Predictive Analytics: Analyse current and historical data to predict future trends using R, Spark, and more

Make sense of your data and predict the unpredictable

About This Book

• 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