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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
Toc

Table of Contents (22) Chapters close

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

Ensemble learning


What we have to do now is gather signals we can draw from different models into one final prediction, so we can select from Middle East customers a list of probably defaulted customers to be sent to the internal audit team.

How would you seek this objective? Imagine you are chilling out with your friends at a pub when you suddenly start talking about your next vacation. You tell them that you are probably going to choose Austria as a destination, even if you don't know if your are going to like it.

Your friends, who really care about your well-being and love you, start sharing their opinions with you. One of them says you are not going to have a good time there because of the cold, one says you are not going to like it because of the humidity, and this goes on until all of your friends have shared their opinion with you. You now know that five of your friends think you are not going to have good time in Austria, while three think you are going to have a great vacation. What...

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