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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

Chapter 11. The Final Clash – Random Forests and Ensemble Learning

I am not saying you reported to Mr. Leveque about this investigation,I am just saying that I got to know about it! You suddenly hear the unpleasant and unusually loud voice of Mr. Clough shouting out. Next to him is your head, Mr Sheene, looking quite intimidated.

Mr. Clough, I do not know who revealed this investigation to Mr. Leveque, and I sincerely hope you are not even supposing that me or one of my collaborators did it.

I am an auditor and I do not suppose anything, I only draw conclusions from evidence, and at the moment I don't have any evidence, except that Mr. Leveque is aware of our investigation. What we have to do now is close our analyses as quick as possible to avoid him or anyone that could be involved in this strange episode adopting some kind of counter move.

We are fairly collaborating to the analyses and we are close to being able to provide you with the list of customers we promised. I will tell you more...

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