🚀 Project Overview This SMS Spam Classifier is a machine learning application that detects whether a given SMS message is Spam or Not Spam (Ham). It is built using Natural Language Processing (NLP) ...

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This project demonstrates the implementation of an Email Spam Detection system using the Naive Bayes algorithm from scratch. The project includes handling the underflow problem using Log Naive Bayes.

In this study, we’re aiming to compare the accuracy percentage of SMS spam detection using various machine learning algorithms, such as Naive Bayes, Support Vector Machine (SVM), Long-Short Term ...