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Hands-On Machine Learning for Cybersecurity
book

Hands-On Machine Learning for Cybersecurity

by Soma Halder, Sinan Ozdemir
December 2018
Intermediate to advanced
318 pages
8h 28m
English
Packt Publishing
Content preview from Hands-On Machine Learning for Cybersecurity

Text feature extraction

In this section, we will start to manually create some features in order to quantify our textual passwords. Let's first create a new column in the data DataFrame called length, which will represent the length of the password:

# 1. the length of the password# on the left of the equal sign, note we are defining a new column called 'length'. We want this column to hold the # length of the password. # on the right of the equal sign, we use the apply method of pandas Series/DFs. We will apply a function (len in this case)# to every element in the column 'text'data['length'] = data['text'].apply(len)# see our changes take effectdata.head()

Here is the output:

Text Length
0 7606374520 10
1 piontekendre 12
2
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Publisher Resources

ISBN: 9781788992282