Practical Data Science with R, 2nd Edition

Practical Data Science with R, 2nd Edition
PDF, ePUB

Book Description
This invaluable addition to any data scientist's library shows you how to apply the R programming language and useful statistical techniques to everyday business situations as well as how to effectively present results to audiences of all levels. To answer the ever-increasing demand for machine learning and analysis, this new edition boasts additional R tools, modeling techniques, and more.

Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever-expanding field of data science. You'll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.

Content

PART 1 - INTRODUCTION TO DATA SCIENCE

  1. The data science process
  2. Starting with R and data
  3. Exploring data
  4. Managing data
  5. Data engineering and data shaping

PART 2 - MODELING METHODS

  1. Choosing and evaluating models
  2. Linear and logistic regression
  3. Advanced data preparation
  4. Unsupervised methods
  5. Exploring advanced methods

PART 3 - WORKING IN THE REAL WORLD

  1. Documentation and deployment
  2. Producing effective presentations

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