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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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Toc

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 this chapter, we introduced supervised and unsupervised learning, the two main subgroups of machine learning algorithms; if you want to learn more about machine learning, I suggest you complete a MOOC course called Machine Learning at Coursera:

https://www.coursera.org/learn/machine-learning

The acronym MOOC stands for Massive Open Online Course; these are courses open to participation via the Internet. These courses are generally free. Coursera is one of the leading platforms for MOOC courses.

Machine Learning is a great course designed and taught by Andrew Ng, Associate Professor at Stanford University; Chief Scientist at Baidu; and Chairman and Co-founder at Coursera. This course is really interesting.

A very interesting book is Machine Learning with R by Brett Lantz, Packt Publishing. This book contains a very interesting chapter about clustering and K-means with R.

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