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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...

The following steps show how ad blocking is implemented using machine learning:

  1. Collect a dataset of internet advertisements.
  2. Import the data into a data frame using pandas:
import pandas as pddf = pd.read_csv("ad.data", header=None)df.rename(columns={1558: "label"}, inplace=True)
  1. The data is dirty in the sense of having missing values. Let's find all the rows that have a missing value:
improper_rows = []for index, row in df.iterrows():    for col in df.columns:        val = str(row[col]).strip()        if val == "?":            improper_rows.append(index)
  1. In the case at hand, it makes sense to drop the rows with missing values, as seen in the following code:
df = df.drop(df.index[list(set(improper_rows))])
  1. Convert the label into numerical form: ...
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Publisher Resources

ISBN: 9781789614671Supplemental Content