February 2019
Intermediate to advanced
386 pages
9h 54m
English
Content preview from Hands-On Unsupervised Learning with Python
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Technical requirements
The code presented in this chapter requires the following:
- Python 3.5+ (The Anaconda distribution is highly recommended)
- The following libraries:
- SciPy 0.19+
- NumPy 1.10+
- scikit-learn 0.20+
- pandas 0.22+
- Matplotlib 2.0+
- seaborn 0.9+
- TensorFlow 1.5+
- deep-belief-network (https://github.com/albertbup/deep-belief-network)
The examples are available in the GitHub repository, at https://github.com/PacktPublishing/HandsOn-Unsupervised-Learning-with-Python/Chapter08.