Practical Data Science with R | KitaabNow

Practical Data Science with R

  • Author: Nina Zumel, John Mount
  • ISBN: 9789351194378
  • Publisher: Dreamtech Press
  • Publication Date: January 1, 2014
  • Format: Paperback – 416 pages
  • Language: English


Practical Data Science with R shows you how to apply the R programming language and useful statistical techniques to everyday business situations. Using examples from marketing, business intelligence and decision support, it shows you how to design experiments (such as A/B tests), build predictive models, and present results to audiences of all levels.

Table of Contents
  1. Part 1: Introduction to Data Science
    1. The data science process
    2. Loading data into R
    3. Exploring data
    4. Managing data
  2. Part 2: Modeling Methods
    1. Choosing and evaluating models
    2. Memorization methods
    3. Linear and logistic regression
    4. Unsupervised methods
    5. Exploring advanced methods
  3. Part 3: Delivering Results
    1. Documentation and deployment
    2. Producing effective presentations
Author Description

Nina Zumel and John Mount are cofounders of a San Francisco-based data science consulting.

Additional information
Weight0.621 kg

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