Started as part of SciKits (SciPy Toolkits), Scikit-learn is the core of data science operations in Python. It offers all that you may need in terms of data preprocessing, supervised and unsupervised learning, model selection, validation, and error metrics. Expect us to talk at length about this package throughout this book. Scikit-learn started in 2007 as a Google Summer of Code project by David Cournapeau. Since 2013, it has been taken over by the researchers at INRIA ( Institut national de recherche en informatique et en automatique, that is the French Institute for Research in Computer Science and Automation):
- Website: http://Scikit-learn.org/stable
- Version at the time of print: 0.19.1
- Suggested install command: pip install ...
