Mastering Machine Learning for Penetration Testing by Chiheb Chebbi
Author:Chiheb Chebbi [Chiheb Chebbi]
Language: eng
Format: epub, mobi
Tags: COM017000 - COMPUTERS / Cybernetics, COM053000 - COMPUTERS / Security / General, COM037000 - COMPUTERS / Machine Theory
Publisher: Packt Publishing
Published: 2018-06-27T11:43:08+00:00
Visualization with seaborn
In every project, I want to help you discover new data visualization Python libraries because, as you saw, data engineering and visualization are essential to every modern data-centric project. This time, I chose seaborn to visualize the data and explore it before starting the training phase. Seaborn is a Python library for making statistical visualizations. The following is an example of generating a plot with seaborn:
>>> data = np.random.multivariate_normal([0, 0], [[5, 2], [2, 2]], size=2000)
>>> data = pd.DataFrame(data, columns=['x', 'y'])
>>> for col in 'xy':
... seaborn.kdeplot(data[col], shade=True)
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