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R Data Mining

You're reading from R Data Mining

Product type Book

Published in Nov 2017

Publisher Packt

ISBN-13 9781787124462

Pages 442 pages

Edition 1st Edition

Languages

Concepts

Table of Contents (22) Chapters

Title Page

Credits

About the Author

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Why to Choose R for Your Data Mining and Where to Start

2. A First Primer on Data Mining Analysing Your Bank Account Data

3. The Data Mining Process - CRISP-DM Methodology

4. Keeping the House Clean – The Data Mining Architecture

5. How to Address a Data Mining Problem – Data Cleaning and Validation

6. Looking into Your Data Eyes – Exploratory Data Analysis

7. Our First Guess – a Linear Regression

8. A Gentle Introduction to Model Performance Evaluation

9. Don't Give up – Power up Your Regression Including Multiple Variables

10. A Different Outlook to Problems with Classification Models

11. The Final Clash – Random Forests and Ensemble Learning

12. Looking for the Culprit – Text Data Mining with R

13. Sharing Your Stories with Your Stakeholders through R Markdown

14. Epilogue

15. Dealing with Dates, Relative Paths and Functions

References

The Origins of Logistic Regression, J.S. Cramer https://papers.tinbergen.nl/02119.pdf. This interesting paper explains when and why logistic regression was developed and how it evolved into the currently employed model.
Introduction to probability theory on brilliant.org, a really well-crafted interactive course on probability, from basic probability theory to continuous variables and experiments: https://brilliant.org/courses/probability/.
An online sample size calculator to define the minimum sample size needed for statistical significance: http://www.nss.gov.au/nss/home.nsf/pages/Sample+size+calculator, a useful explanation about the significance of sample size and related terms is also provided.
http://www.di.fc.ul.pt/~jpn/r/svm/svm.html#svm-for-regression, a good vignette showing in great detail the content of the svm() output and its meaning.

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