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R Data Mining

You're reading from   R Data Mining Implement data mining techniques through practical use cases and real-world datasets

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781787124462
Length 442 pages
Edition 1st Edition
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Concepts
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Author (1):
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Andrea Cirillo Andrea Cirillo
Author Profile Icon Andrea Cirillo
Andrea Cirillo
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Table of Contents (16) Chapters Close

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

And you just added one more sharp tool into your toolbox! This chapter was surely less intense than the previous one; nevertheless, it gifted you a relevant edge for crafting reports about your data mining activity. 

The first relevant point you learned within the chapter is that a report, in order to be effective, has to respect some core principles mainly related with clearness of objectives and assumptions, consistency, and replicability of results.

Furthermore, you learned how to set up and fill down an rmarkdown report composed of markdown slices of text and r code chunks. This powerful instrument lets you create reports made on your R code and easily update the results as the data changes.

Finally, you got in touch with the fast-growing world of the Shiny app, a complete ecosystem for web application development and deployment.

Your job is done at Hippalus Inc...

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