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Practical data science with R
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| Format: | Printed Book |
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New Delhi
Dreamtech
2014
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Table of Contents:
- Part 1 Introduction to data science The data science process Loading data into R Exploring data Managing data Part 2 Modeling methods Choosing and evaluating models Memorization methods Linear and logistic regression Unsupervised methods Exploring advanced methods Part 3 Delivering results Documentation and deploymen · Producing effective presentations