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Machine Learning for Healthcare Analytics Projects

You're reading from   Machine Learning for Healthcare Analytics Projects Build smart AI applications using neural network methodologies across the healthcare vertical market

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789536591
Length 134 pages
Edition 1st Edition
Languages
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Author (1):
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Eduonix Learning Solutions Eduonix Learning Solutions
Author Profile Icon Eduonix Learning Solutions
Eduonix Learning Solutions
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Toc

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...

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