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Published inJun 2015

Reading LevelExpert

Publisher

ISBN-139781783982806

Edition1st Edition

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Tools

RStudio

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Predictive Analytics

Authors (2):

Rui Miguel Forte

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Predicting intense earthquakes

Having reviewed several time series models, we are now ready for some practical examples. Our first data set is a time series of earthquakes having magnitude that exceeds 4.0 on the Richter scale in Greece over the period between the year 2000 and the year 2008. This data set was recorded by the Observatory of Athens and is hosted on the website of the University of Athens, Faculty of Geology, Department of Geophysics & Geothermics. The data is available online at http://www.geophysics.geol.uoa.gr/catalog/catgr_20002008.epi.

We will import these data directly by using the package RCurl. From this package, we will use the functions getURL(), which retrieves the contents of a particular address on the Internet, and textConnection(), which will interpret the result as raw text. Once we have the data, we provide meaningful names for the columns using information from the website:

> library("RCurl")
> seismic_raw <- read.table(textConnection(getURL(
...

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Mastering Predictive Analytics with R

Published in: Jun 2015Publisher: ISBN-13: 9781783982806

Authors (2)

Rui Miguel Forte

Why do you think this reviewer is suitable for this book? Mr. Rui Miguel Forte has authored a book for Packt titled “Mastering Predictive Analytics with R”. The book has received a 5 star rating. He has 3 years experience as a Data Scientist. He has knowledge of Scala, Python, R, PHP. • Has the reviewer published any articles or blogs on this or a similar tool/technology ? [Provide Links and References] A brief of Unsupervised learning has been covered in his book “Mastering Predictive Analytics with R” https://www.safaribooksonline.com/library/view/mastering-predictive-analytics/9781783982806/ https://www.linkedin.com/profile/view?id=AAkAAAC5YUIBYL7LyLCWZ6LsR0ENJxByC2jU9AU&authType=NAME_SEARCH&authToken=c1Pg&locale=en_US&trk=tyah&trkInfo=clickedVertical%3Amynetwork%2CclickedEntityId%3A12149058%2CauthType%3ANAME_SEARCH%2Cidx%3A1-1-1%2CtarId%3A1444032603690%2Ctas%3ARui%20Miguel%20Forte • Feedback on the Outline (in case outline has been shared with the reviewer) The author said the outline is good to go. • Did the reviewer share any concerns or questions regarding the reviewing process? (related to the schedule, commitment, or any additional comments) No
Read more about Rui Miguel Forte

Rui Miguel Forte

Rui Miguel Forte is currently the chief data scientist at Workable. He was born and raised in Greece and studied in the UK. He is an experienced data scientist, having over 10 years of work experience in a diverse array of industries spanning mobile marketing, health informatics, education technology, and human resources technology. His projects have included predictive modeling of user behavior in mobile marketing promotions, speaker intent identification in an intelligent tutor, information extraction techniques for job applicant resumes and fraud detection for job scams. He currently teaches R, MongoDB, and other data science technologies to graduate students in the Business Analytics MSc program at the Athens University of Economics and Business. In addition, he has lectured in a number of seminars, specialization programs, and R schools for working data science professionals in Athens. His core programming knowledge is in R and Java, and he has extensive experience working with a variety of database technologies such as Oracle, PostgreSQL, MongoDB, and HBase. He holds a Master’s degree in Electrical and Electronic Engineering from Imperial College London and is currently researching machine learning applications in information extraction and natural language processing.
Read more about Rui Miguel Forte

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Predicting intense earthquakes

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