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Machine Learning for Cybersecurity Cookbook
book

Machine Learning for Cybersecurity Cookbook

by Emmanuel Tsukerman
November 2019
Intermediate to advanced content levelIntermediate to advanced
346 pages
9h 36m
English
Packt Publishing
Content preview from Machine Learning for Cybersecurity Cookbook

How to do it...

Let's see how to generate text using Markov chains by performing the following steps:

  1. Start by importing the markovify library and a text file whose style we would like to imitate:
import markovifyimport pandas as pddf = pd.read_csv("airport_reviews.csv")

As an illustration, I have chosen a collection of airport reviews as my text:

"The airport is certainly tiny! ..."
  1. Next, join the individual reviews into one large text string and build a Markov chain model using the airport review text:
from itertools import chainN = 100review_subset = df["content"][0:N]text = "".join(chain.from_iterable(review_subset))markov_chain_model = markovify.Text(text)

Behind the scenes, the library computes the transition word probabilities ...

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Publisher Resources

ISBN: 9781789614671Supplemental Content