Capstone_Project_ML
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nupurbaghel
Building a multi-label classifier for toxic comment classification
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#import required library from sklearn.feature_extraction.text import CountVectorizer #create object supplying our custom stop words count_vector = CountVectorizer(stop_words=stop_words) #fitting it to converts comments into bag of words format tf = count_vector.fit_transform(comments).toarray()...
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Building a multi-label classifier for toxic comment classification