August 2019
Intermediate to advanced
342 pages
9h 35m
English
Content preview from Hands-On Artificial Intelligence for Cybersecurity
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One-hot encoding with sklearn
The following example shows how to transform categorical features into binary representation, making use of the OneHotEncoder class of scikit-learn:
from sklearn import preprocessingone_hot_enc = preprocessing.OneHotEncoder()cat_data = [['Developer', 'Remote Working', 'Windows'], ['Sysadmin', 'Onsite Working', 'Linux']]one_hot_enc.fit(cat_data)one_hot_enc.transform([['Developer', 'Onsite Working', 'Linux']])
After having described feature engineering best practices, we can move on to evaluating the performance of our models.
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