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Predictive Analytics using Rattle and Qlik Sense

You're reading from   Predictive Analytics using Rattle and Qlik Sense Create comprehensive solutions for predictive analysis using Rattle and share them with Qlik Sense

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781784395803
Length 242 pages
Edition 1st Edition
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Author (1):
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Ferran Garcia Pagans Ferran Garcia Pagans
Author Profile Icon Ferran Garcia Pagans
Ferran Garcia Pagans
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Table of Contents (11) Chapters Close

Preface 1. Getting Ready with Predictive Analytics FREE CHAPTER 2. Preparing Your Data 3. Exploring and Understanding Your Data 4. Creating Your First Qlik Sense Application 5. Clustering and Other Unsupervised Learning Methods 6. Decision Trees and Other Supervised Learning Methods 7. Model Evaluation 8. Visualizations, Data Applications, Dashboards, and Data Storytelling 9. Developing a Complete Application Index

Further learning


In the previous chapter, I recommended that you pursue Introduction to Data Science, a Coursera course by Bill Howe, Director of Research Scalable Data Analytics at the University of Washington. The seventh lecture of this course has two interesting videos on Overfitting, Evaluation, and Cross-validation. This is an introductory course and the videos are very intuitive.

Also, a very nice introductory book is Data Science for Business written by Foster Provost and Tom Fawcett, O'Reilly Media. This is a great book for a manager who needs to understand data science. The book has a nice chapter about overfitting and model evaluation.

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