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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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Summary

In this chapter, we have started collecting the data needed to develop our model to predict bank failures. In this case, we have downloaded a large amount of data and we have structured it. Moreover, we have created our target variable. At the end of this chapter, you should have learned that data collection is the first and one of the most important steps in the model development. When you deal with your own problems, take time to understand the problem and then think about what kind of data you need and how to obtain it. In the next chapter, we will do a descriptive analysis of the data that we have acquired.

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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