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Supervised machine learning using a data set of 2500 ham and 500 spam emails. Data is also split into train and test sets of various sizes to test the classifier's efficiency. (Python)
NO SPAM is a Spam-Sms-Classifier tool designed to accurately classify text messages as either spam or not spam. Using advanced machine learning algorithms, the classifier analyzes the content of SMS messages and determines their likelihood of being unsolicited or unwanted.