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R Data Science Essentials

You're reading from  R Data Science Essentials

Product type Book
Published in Jan 2016
Publisher
ISBN-13 9781785286544
Pages 154 pages
Edition 1st Edition
Languages

Table of Contents (15) Chapters

R Data Science Essentials
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with R 2. Exploratory Data Analysis 3. Pattern Discovery 4. Segmentation Using Clustering 5. Developing Regression Models 6. Time Series Forecasting 7. Recommendation Engine 8. Communicating Data Analysis Index

About the Authors

Raja B. Koushik is a business intelligence professional with over 7 years of experience and is currently working in one of the leading international IT services companies. His primary interest lies for business intelligence technologies, such as ETL, reporting, and dashboarding, along with analytics based on statistics. He has worked with one of the world's largest companies for both their U.S. as well as UK business in the healthcare and leasing domains. He holds an engineering degree with specialization in information technology from Anna University.

Sharan Kumar Ravindran is a data scientist with over 5 years of experience and is currently working with a leading e-commerce company in India. His primary interest lies in statistics and machine learning, and he has worked with multiple customers across Europe and the U.S. in the e-commerce and IoT domains. He holds an MBA degree with specialization in marketing and business analysis. He conducts workshops, partnering with Anna University, to train their staff, research scholars, and volunteers in analytics. In addition to co-authoring Data Science Essentials with R by Packt Publishing, Sharan has also co-authored Mastering Social Media Mining with R by Packt Publishing. He maintains www.rsharankumar.com, a website with links to his social profiles and data blog.

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