Skip to Content
R Deep Learning Essentials - Second Edition
book

R Deep Learning Essentials - Second Edition

by Mark Hodnett, Joshua F. Wiley
August 2018
Intermediate to advanced
378 pages
9h 9m
English
Packt Publishing
Content preview from R Deep Learning Essentials - Second Edition

Data download and exploration

When you go to the preceding link, there are a few different data options; the one we will use is called Let’s Get Sort-of-Real. This dataset is data for over two years for a fictional retail loyalty scheme. The data consists of purchases that are linked by basket ID and customer code, that is, we can track transactions by customers over time. There are a number of options here, including the full dataset, which is 4.3 GB zipped and over 40 GB unzipped. For our first models, we will use the smallest dataset, and will download the data titled All transactions for a randomly selected sample of 5,000 customers; this is 1/100th the size of the full database.

I wish to thank dunnhumby for releasing this dataset and ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

R Deep Learning Cookbook

R Deep Learning Cookbook

PKS Prakash, Achyutuni Sri Krishna Rao
Hands-On Deep Learning with R

Hands-On Deep Learning with R

Rodger Devine, Michael Pawlus
R: Unleash Machine Learning Techniques

R: Unleash Machine Learning Techniques

Raghav Bali, Dipanjan Sarkar, Brett Lantz, Cory Lesmeister
Deep Learning with R Cookbook

Deep Learning with R Cookbook

Swarna Gupta, Rehan Ali Ansari, Dipayan Sarkar

Publisher Resources

ISBN: 9781788992893Supplemental Content