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.

This project is a filter for spam SMS based on the Naive Bayes Algorithm. It uses a dataset of 5000 SMS classified by humans to calculate the probability of a new SMS of being 'Spam' or 'Ham' (non ...

This paper describes the how naïve bayes algorithm is applied for detecting and categorization spam SMS although naïve by is used commonly used algorithm but it has the effectiveness for the base data ...