July 2017
Intermediate to advanced
254 pages
6h 29m
English
Content preview from Mastering Machine Learning with scikit-learn - Second Edition
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An introduction to scikit-learn
Since its release in 2007, scikit-learn has become one of the most popular machine learning libraries. scikit-learn provides algorithms for machine learning tasks including classification, regression, dimensionality reduction, and clustering. It also provides modules for pre-processing data, extracting features, optimizing hyperparameters, and evaluating models.
scikit-learn is built on the popular Python libraries NumPy and SciPy. NumPy extends Python to support efficient operations on large arrays and multi-dimensional matrices. SciPy provides modules for scientific computing. The visualization library matplotlib is often used in conjunction with scikit-learn.
scikit-learn is popular for academic research ...
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