Data Analytics Using R

Data Analytics using R

Data Analytics Using R
By 作者: Seema Acharya
Language 语言: English
Binding: Paperback
Publisher Finelybook 出版社: Mcgrawhill HED
Genre: Computer Science Engineering
ISBN: 9789352605248, 9352605241
Edition 版本: 1, 2018
Pages: 580
Book Description to Finelybook sorting
Table of contents
Chapter 1 Introduction to R

Chapter 2 Getting Started with R

Chapter 3 Loading and Handling Data in R

Chapter 4 Exploring Data in R

Chapter 5 Linear Regression using R

Chapter 6 Logistic Regression

Chapter 7 Decision Tree

Chapter 8 Time Series in R

Chapter 9 Clustering

Chapter 10 Association Rules

Chapter 11 Text Mining

Chapter 12 Parallel Computing with R

Description
This book is aimed at undergraduate students of computerscience and engineering. The book will be useful companion for IT professionalsto data analysts and decision makers responsible for driving strategicinitiatives, and management graduates and business analysts, engaged inself-study.

This book by Acharya unleashes the power of R as astatistical data analytics and visualization tool and introduces the learnersto several data mining algorithms and chart forms / visualizations. It has goodemphasis on ‘asking the right questions’.

• Exhaustivecoverage includes installation of R and its package, getting accustomed to Rinterface and R commands, working with data from disparate data sources (.csv,JSON, XML, RDBMS etc.), getting conversant with classification, clustering,association rule mining, regression, text mining etc.

• 12 Casestudies namely Insurance Fraud Detection, Customer Insights Analysis, SalesForecasting, Credit Card Spending by Customer Groups and Helping RetailersPredict In-store Customer Traffic

• Pedagogy

o 300+chapter-end and check your progress questions for self-assessment

o 200Multiple-choice questions

o 10+hands-on practical exercises

o Exhaustiveillustrations


下载地址

Data Analytics Using R 9789352605248.pdf

赞(1) 捐助
未经允许不得转载:finelybook » Data Analytics Using R
分享到: 更多 (0)

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就打赏一下文章作者

支付宝扫一扫打赏

微信扫一扫打赏