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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

ASD screening using machine learning

We will be using a Jupyter Notebook, which runs on iPython. We will also use the pandas, Keras, and scikit-learn libraries here:

  1. To open a Notebook we will use the Command Prompt in Windows.
  2. We will first navigate to the directory where our project is present using the cd command, as shown in the following screenshot:
  1. Once we are in the required directory, we will open up Jupyter Lab using the following command:
jupyter lab
  1. When we press Enter after this command, we will see the Notebook open. Here, we will see that there's an untitled file open in the Notebook. We will then rename that file to autism_detection.
Ctrl + B will close the directory window present on the left side. This will expand your Notebook so that it takes up the whole screen.
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