Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781838644338
Length 250 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Iván Pastor Sanz Iván Pastor Sanz
Author Profile Icon Iván Pastor Sanz
Iván Pastor Sanz
Arrow right icon
View More author details
Toc

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
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image