August 2018
Intermediate to advanced
522 pages
12h 45m
English
Content preview from Machine Learning Algorithms - Second Edition
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Naive Bayes in scikit-learn
scikit-learn implements three Naive Bayes variants based on the same number of different probabilistic distributions: Bernoulli, Multinomial, and Gaussian. The first one is a binary distribution, and is useful when a feature can be present or absent. The second one is a discrete distribution and is used whenever a feature must be represented by a whole number (for example, in NLP, it can be the frequency of a term), while the third is a continuous distribution characterized by its mean and variance.
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