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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
Concepts

Table of Contents (15) Chapters

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

Methods to improve the accuracy

We will explore some of the different methods that can be performed to improve the accuracy of the model. Note that these are just techniques that can be tried; they can't guarantee improvement in the accuracy. Some of the methods might work for some kinds of data. Let's understand the popular options available to us.

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