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Machine Learning with R Quick Start Guide

You're reading from   Machine Learning with R Quick Start Guide A beginner's guide to implementing machine learning techniques from scratch using R 3.5

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781838644338
Length 250 pages
Edition 1st Edition
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Author (1):
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Iván Pastor Sanz Iván Pastor Sanz
Author Profile Icon Iván Pastor Sanz
Iván Pastor Sanz
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Toc

Collecting the target variable

We need to determine whether or not a bank has failed in the past – this will be our target. This information is also available on the FDIC website at https://www.fdic.gov/bank/individual/failed/banklist.html.

The website includes banks that have failed since October 2000, which covers all our dataset:

Let's see the steps to achieve this:

  1. Download this information into a .csv file:
download.file("https://www.fdic.gov/bank/individual/failed/banklist.csv", "failed_banks.csv",method="auto", quiet=FALSE, mode = "wb", cacheOK = TRUE)

Even this list is updated periodically, as historical information does not change, but the results are still replicable. Anyway, the file used in the development is also available in the data repository of this book.

  1. Now, upload the downloaded file into R, as follows...
You have been reading a chapter from
Machine Learning with R Quick Start Guide
Published in: Mar 2019
Publisher: Packt
ISBN-13: 9781838644338
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