email-classifier
There are 3 repositories under email-classifier topic.
Surya-Murali / Email-Spam-Classifier-Using-Naive-Bayes
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.
Language:Python 13Karan9034 / AI-Mail-Classifier
AI-Mail-Classifier for Techfest IITB competition
Language:HTML 7thomasvangurp / spamfilter
Machine learning for filtering out spam in the ENRON spam dataset
Language:Python 6ManasviGoyal / Enron-Classification
Exploratory Analysis of Enron Dataset and Classification using multiple algorithms
Language:Jupyter Notebook 5ryannono / Mail-Organizer
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!
Language:TypeScript 4avannaldas / EmailsClassification
Classification of emails received on a mass distribution group
Language:Jupyter Notebook 3eric114610 / Email-priority-classifier-chrome-extension
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.
Language:JavaScript 3FarhanShoukat / Text-Classification
A comprehensive comparision of kNN, Naive Bayes and Neural Network in Text Classification
Language:Python 3ayushianan / email_classifier
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
Language:Jupyter Notebook 2Gaurav241 / Email-SMS-Spam-Classifier
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.
Language:Jupyter Notebook 2AdrianEpi / SBlocker
SPAM Blocker is a program that pretends to be a mail classifier that detects SPAM and HAM (no spam mail).
Language:C++ 1hasanulmukit / spam-email-classifier
This is a Spam Email Classifier built using Python and Streamlit. It uses a pre-trained model to predict whether an email is Spam or Not Spam. The app also provides the probability scores for both categories, enhancing transparency and reliability of the prediction.
Language:Python 1Jainish021 / Email-Classifiers
This repo has email classifiers based on Naive Bayes classifier, Bernouilli Naive Bayes Classifier and Logistic Regression Classifier.
Language:Python 1- Language:Jupyter Notebook 1
scimone / Emails
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.
Language:Python 1wictorsama / auto-u
Intelligent Email Classification & Auto-Response System A modern web application that automatically classifies emails as productive/unproductive, detects intent (meeting, approval, budget, notification), and suggests contextual responses. Built with FastAPI, Alpine.js, and deployed on AWS Lambda for serverless scalability.
Language:Python 1NilayGaitonde / Email-Classifier
A simple binary email classifier that classifies emails into spam and ham and also performs topic modelling using LDA
Language:Jupyter Notebook 0oussama95boussaid / messages-emails-classifier
Email Classification Tool
Language:Jupyter Notebook 0Parth-Kapadia / Email-Classification-MLH
This repository is made to support my application of MLH fellowship. This project had been done during my 2 years of work experience at Sailfin Technologies and is stored as a private repository before. The repository contains full process code from email cleaning, data modelling, database authentication (postgres for Salesforce), REST API building and Heroku deployment file.
Language:Python 0Sauravpandey98 / DL-and-ML
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.
Language:Jupyter Notebook 0sumeetkotaria11 / EmailSpam
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.
Language:Jupyter Notebook 04snt / email-classifier-frontend
AutoU - Email Classifier MVP (Frontend)
Language:TypeScriptabhinavsaurabh / EmailSpam
Spam Email Detection using Naive Bayes
Language:Pythonganigavinaya / NaiveBayes
NaiveBayes classifier with an without stop words to classify Ham and Spam emails
Language:Pythonishmav16 / Email-Classification-Spam-or-Ham
Developed a Naive Bayes classifier for classifying the E-mail is Spam or Ham message
Language:Pythonmarxgoo / email-spam-classification
A machine learning project that classifies messages as spam or ham using text preprocessing (lemmatization, stop-word removal), TF-IDF vectorization, and multiple algorithms (Naive Bayes, Random Forest, SVM). Best performance: SVM with 98.6% accuracy.
Language:Jupyter NotebookParthoSarothiDas / spam-sms-email-classifier
A Streamlit web app that classifies SMS and email text as SPAM or Not SPAM using a Multinomial Naive Bayes model and TF-IDF vectorization — with custom NLP preprocessing and a clean, responsive interface.
Language:Jupyter NotebookRobinManhas / Spam-filter
A Naive Bayes algorithm to classify spam emails
Language:Python
