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Hands-On Data Science with R

You're reading from  Hands-On Data Science with R

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781789139402
Pages 420 pages
Edition 1st Edition
Languages
Authors (4):
Vitor Bianchi Lanzetta Vitor Bianchi Lanzetta
Profile icon Vitor Bianchi Lanzetta
Doug Ortiz Doug Ortiz
Profile icon Doug Ortiz
Nataraj Dasgupta Nataraj Dasgupta
Profile icon Nataraj Dasgupta
Ricardo Anjoleto Farias Ricardo Anjoleto Farias
Profile icon Ricardo Anjoleto Farias
View More author details
Toc

Table of Contents (16) Chapters close

Preface 1. Getting Started with Data Science and R 2. Descriptive and Inferential Statistics 3. Data Wrangling with R 4. KDD, Data Mining, and Text Mining 5. Data Analysis with R 6. Machine Learning with R 7. Forecasting and ML App with R 8. Neural Networks and Deep Learning 9. Markovian in R 10. Visualizing Data 11. Going to Production with R 12. Large Scale Data Analytics with Hadoop 13. R on Cloud 14. The Road Ahead 15. Other Books You May Enjoy

Quiz

  • Quiz-tion: Which of the following packages directly implement functions named after HTTP verbs such as GET and POST in R?
    1. ggplot2
    2. tidytext
    3. dplyr
    4. httr
  • Quiz-tion: Read the following statements and pick the wrong one:
    1. rvest and httr can be used to retrieve data from the web
    2. The gsub() function is useful to find and replace patterns
    3. Clustering analysis is only useful to the industry and does not have a single application to academic research
    4. The dendextend package is able to craft visualizations on the top of clusters
  • Quiz-tion: Which of the following packages offers an easy interface to the interact with Twitter's API?
    1. httr
    2. rvest
    3. rtweet
    4. not

Answersexecuting the following code will give you the answers to the quiz questions:

set.seed(8080)
round(runif(3,1,4))

See you in Antica.

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