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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 it works...

We begin by reading in our data (step 1). We then create a train-test split (step 2). We proceed to instantiate an XGBoost classifier with default parameters and fit it to our training set (step 3). Finally, in step 4, we use our XGBoost classifier to predict on the testing set. We then produce the measured accuracy of our XGBoost model's predictions.

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Publisher Resources

ISBN: 9781789614671Supplemental Content