Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Machine Learning for Healthcare Analytics Projects

You're reading from  Machine Learning for Healthcare Analytics Projects

Product type Book
Published in Oct 2018
Publisher Packt
ISBN-13 9781789536591
Pages 134 pages
Edition 1st Edition
Languages

The dataset

To begin with, let's open Command Prompt and execute the following command:

cd tutorial
jupyter lab

This will take us to the tutorial folder. From here, we can open up JupyterLab. This folder is going to be empty right now, but it is where we will be completing this tutorial.

The dataset we're going to use is the heart disease dataset from the UCI repository. You can download this from archive.ics.uci.edu/ml/machine-learning-databases/heart-disease/. It has around 303 patients collected from the Cleveland Clinic Foundation. They have also added data from other places as well, but we are only going to look at data from Cleveland for now. If you go over to the Data folder, you'll see that we've got lot's of different options:

Even if you don't go to the preceding URL, we can directly import all of the files present there directly into our...

lock icon The rest of the chapter is locked
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 $15.99/month. Cancel anytime}