A SMS spam classifier built with the help of nltk library. The classifier used is random forest. Accuracy obtained is 97%. Dataset is taken from UCI ML repository.
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A SMS spam classifier built with the help of nltk library. The classifier used is random forest. Accuracy obtained is 97%. Dataset is taken from UCI ML repository.