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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

Classifying DNA sequences

Let's classify DNA sequences by performing the following steps:

  1. Let's start a new Python Jupyter Notebook and name it DNA Classification. As always, one of the first steps that we want to take is to import the libraries and the modules that we need, and check the versions, in order to make sure that we're on the same page and that we don't make any errors while importing the modules. If we do, we can go back and install them again.

Take a look at the following code snippet:

import sys
import numpy
import sklearn
import pandas

print('Python: {}'.format(sys.version))
print('Numpy: {}'.format(numpy.__version__))
print('Sklearn: {}'.format(sklearn.__version__))
print('Pandas: {}'.format(pandas.__version__))

The preceding code snippet will import all of the necessary libraries, and will indicate which...

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