rasbt--python-machine-learning-book
wehub-resource-sync
7 行
391 B
TeX
7 行
391 B
TeX
Obtaining the IMDb movie review dataset
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Introducing the bag-of-words model
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Transforming words into feature vectors
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Assessing word relevancy via term frequency-inverse document frequency
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Cleaning text data
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Processing documents into tokens
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Training a logistic regression model for document classification
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Working with bigger data – online algorithms and out-of-core learning
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Summary |