June 2018
Intermediate to advanced
276 pages
6h 26m
English
Content preview from Mastering Machine Learning for Penetration Testing
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Chapter 2 – Phishing Domain Detection
- The following are some text-cleaning tasks to perform:
- Clean your texts of stopwords, digits, and punctuation marks.
- Perform lemmatization.
- Create a word dictionary, including their frequencies.
- Remove the non-words from the dictionary.
- Extract the features from the data.
Check Chapter2-Practice folder for the answers: https://github.com/PacktPublishing/Mastering-Machine-Learning-for-Penetration-Testing/tree/master/Chapter%202/Chaptre2-Practice.
- Prepare the feature vectors and their labels.
train_labels = np.zeros(702)train_labels[351:701] = 1train_matrix = extract_features(train_dir)
- Train the model with a linear support vector machine classifier.
model = LinearSVC()model.fit(train_matrix,train_labels) ...
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