Naive Bayes and KNN algorthims are used to build a classfication model which will classfify the sms messages as spam or non-spam. The accuracy level of Naive Bayes model is 95% and the accraucy level of KNN (with 3 neighbours) is 96% approximately. Here, spam.csv which contains 5572 numbers of SMS message(along with their label) is used to build this model
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prasantapaul93/SPAM_SMS_Classification
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