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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…

In the following steps, we will read in a featurized dataset of URLs and train a classifier on it.

  1. Download the phishing dataset from this chapter's directory.
  2. Read in the training and testing data using pandas:
import pandas as pdimport ostrain_CSV = os.path.join("phishing-dataset", "train.csv")test_CSV = os.path.join("phishing-dataset", "test.csv")train_df = pd.read_csv(train_CSV)test_df = pd.read_csv(test_CSV)
  1. Prepare the labels of the phishing web pages:
y_train = train_df.pop("target").valuesy_test = test_df.pop("target").values
  1. Prepare the features:
X_train = train_df.valuesX_test = test_df.values
  1. Train, test, and assess a classifier:
from sklearn.ensemble import RandomForestClassifierfrom sklearn.metrics import ...
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Publisher Resources

ISBN: 9781789614671Supplemental Content