Scikit-Learn incorporation - Natural Language Processing With Python and NLTK p.15

From the creator

Despite coming packed with some classifiers, NLTK is mainly a toolkit focused on natural language processing, and not machine learning specifically. A module that is focused on machine learning is scikit-learn, which is packed with a large array of machine learning algorithms which are optimized in C. Luckily NLTK has recognized this and comes packaged with a special classifier that wraps around scikit learn. In NLTK, this is: nltk.classify.scikitlearn, specifically the class: SklearnClassifier is what we're interested in. This allows us to port over any of the scikit-learn classifiers that are compatible, which is most. Playlist link: https://www.youtube.com/watch?v=FLZvOKSCkxY&list=PLQVvvaa0QuDf2JswnfiGkliBInZnIC4HL&index=1 sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com

Published 2015-05-16 · Watch on YouTube ↗
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