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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

Summary

In this chapter, we took some time to better understand how we should structure our data mining activities. Even if it felt like a pause in our exciting riding to R mastery, it was quite a useful one. You are now able to address any kind of data mining task as it shows up. All you have to do is to follow the logical and chronological path you have learned:

Business understanding (what is the problem, what are the relevant questions?)
Data understanding (which data is at my disposal to solve the problem?)
Data preparation (get my data ready to work)
Data modeling (try to get knowledge from the data to solve the problem)
Evaluation (see if the problem found a question with your analysis)
Deployment (place it in production, if needed)

You have a framework and a methodology to help you get started with your project, and this is really powerful. Ready to start riding again? Well, even if you are ready, you will have to wait for a few more pages: in the next chapter, we are going to take a close...

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