Spam mail classification project using support vector machines (SVMs) Spam mail classification project using support vector machines (SVMs) would involve training a model to distinguish between spam and non-spam (ham) sms's based on the content of the sms's. The model would use the text of the sms as input, and would be trained on a dataset of labeled sms's. Once the model is trained, it can be used to classify new incoming sms's as spam or non-spam.
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Spam mail classification project using support vector machines (SVMs)
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