A machine learning model that separates spam messages from ham messages. The dataset consisted of email messages and their labels (0 for ham, 1 for spam). I have used the TF-IDF Vectorizer which gives weightage to important words and hence improves the accuracy of the model.
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abdullahshahzadkhan/Spam-Ham_Classification
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