A Naive Bayes spam/ham classifier based on Bayes' Theorem. A bunch of emails is first used to train the classifier and then a previously unseen record is fed to predict the output.

AI-Mail-Classifier for Techfest IITB competition

Machine learning for filtering out spam in the ENRON spam dataset

a powerful tool designed to declutter and organize your inbox automatically using Cohere's classification API. Leveraging Node.js and the IMAP protocol, it fetches, parses, and classifies your emails into appropriate folders, facilitating a tidy and well-organized mailbox. Get started now to redefine your email management experience!

A comprehensive comparision of kNN, Naive Bayes and Neural Network in Text Classification

Classification of emails received on a mass distribution group

A ML classification example to train a Naive Bayes model to be able to predict who wrote a document/email, given the words used in it

The project leverages Naive Bayes Classifiers, a family of algorithms based on Bayes’ Theorem, which presumes independence between predictive features. This theorem is crucial for calculating the likelihood of a message being spam based on various characteristics of the data.

Machine learning on spam

A Chrome extension designed to automatically classify your Gmail emails' priority using Gemini. EPIC helps you identify which emails to prioritize and which can wait, saving you time and improving your workflow.

A collection of Python scripts designed to streamline various tasks related to managing emails and PDF attachments. Easily extract clean email text, classify emails as automated or human-generated, process PDFs, and automatically fill PDF forms using saved user profile data.

This Project is aimed at classifying emails into Spam or Non-Spam Category using KNN, Naive Bayes and Decision Trees. This project doesn't use any existing machine learning library for classification but just pure Python.

Spam Email Detection using Naive Bayes

Email Classification Tool

I'm gaining experience in Deep Learning and Machine Learning field by making some small and large projects. This repository contains some of my small projects based on Deep Learning and Machine Learning.

Developed a Naive Bayes classifier for classifying the E-mail is Spam or Ham message

A Naive Bayes algorithm to classify spam emails

NaiveBayes classifier with an without stop words to classify Ham and Spam emails

A simple binary email classifier that classifies emails into spam and ham and also performs topic modelling using LDA