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Practical Predictive Analytics

You're reading from   Practical Predictive Analytics Analyse current and historical data to predict future trends using R, Spark, and more

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781785886188
Length 576 pages
Edition 1st Edition
Languages
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Author (1):
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Ralph Winters Ralph Winters
Author Profile Icon Ralph Winters
Ralph Winters
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Predictive Analytics FREE CHAPTER 2. The Modeling Process 3. Inputting and Exploring Data 4. Introduction to Regression Algorithms 5. Introduction to Decision Trees, Clustering, and SVM 6. Using Survival Analysis to Predict and Analyze Customer Churn 7. Using Market Basket Analysis as a Recommender Engine 8. Exploring Health Care Enrollment Data as a Time Series 9. Introduction to Spark Using R 10. Exploring Large Datasets Using Spark 11. Spark Machine Learning - Regression and Cluster Models 12. Spark Models – Rule-Based Learning

Conventions

In this book, you will find a number of styles of text that distinguish between different kinds of information. Here are some examples of these styles, and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows:

"Save all output to the /PracticalPredictiveAnalytics/Outputs directory."

A block of code is set as follows:

#run the model
model <- OneR(train_data, frisked ~ ., verbose = TRUE)
#summarize the model
summary(model)
#run the sql function from the SparkR package
SparkR::sql("SELECT sample_bin , count(*)
\FROM out_tbl group by sample_bin")

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

#note we are specifing the SparkR filter, not the dplyr filer
head(SparkR::filter(out_sd1,out_sd1$sample_bin==1),1000)

Any command-line, (including commands at the R console) input or output is written as follows:

> summary(xchurn)

New terms and important words are shown in bold. Words that you see on the screen, in menus or dialog boxes for example, appear in the text like this: "Clicking the Next button moves you to the next screen."

Warnings or important notes appear in a box like this.
Tips and tricks appear like this.
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