email-classification

There are 35 repositories under email-classification topic.

  • shxntanu/email-classifier

    📤 Email Classification and Automatic Re-routing with the power of LLMs and Distributed Task Queues. 🏆 Winner at Barclays Hack-O-Hire 2024!

    Language:Python322017
  • ManasviGoyal/Gmail-Classification

    Extract Emails from Gmail account, convert to Excel file and classify using various classification algorithms.

    Language:Jupyter Notebook20105
  • ngandhi369/AI-Email-Classifier

    Flask web app made using machine learning model. It uses mails from authorized user's Gmail and shows mails with categorical label on web app based on the mail messages using preprocessed machine learning model on training dataset.

    Language:Python12000
  • Mike-Schmidt-Avemac/ai-email-insights

    Code created for blog series on unsupervised feature/topic extraction from corporate email content. An implementation for cleaning raw email content, data analysis, unsupervised topic clustering for sentiment/alignment and ultimately several deep-learning models for classification. Details at www.avemacconsulting.com.

    Language:Python10112
  • IOEPAS/zippy

    Final Year Project for BCT: "Ranking Emails Based On Priority"

    Language:Jupyter Notebook76121
  • prigarg/Naive-Bayes-algorithm-from-scratch-for-Text-classification

    Naïve Bayes Algorithm is implemented from scratch in order to classify spam and not spam emails.

    Language:Jupyter Notebook5101
  • ayomidee-e/email-classification

    A machine learning model that predicts whether an email is spam or not.

    Language:Python4102
  • Md-Emon-Hasan/ML-Project-Email-SMS-Spam-Classifier-with-MLOps

    📧 ML project focused on email spam classification, demonstrating data preprocessing, model training, and evaluation using Python and scikit-learn.

    Language:Jupyter Notebook4120
  • minutogit/PrioMailbox

    Prioritize your mailbox. Intelligently auto-tag, highlight, and organize important emails in Thunderbird using trainable tags.

    Language:JavaScript42102
  • HoangLayor/Finetune-LLMs-for-Sequence-Classification

    Finetune Flan-T5 for email classification

    Language:Jupyter Notebook3100
  • NLP-Email-Categorizer

    VoxDroid/NLP-Email-Categorizer

    An efficient text classification pipeline for email subjects, leveraging NLP techniques and Multinomial Naive Bayes. Easily preprocess data, train the model, and categorize new email subjects. Ideal for NLP enthusiasts and those building practical email categorization systems using Python.

    Language:Python3202
  • Gaurav241/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 Notebook2100
  • Mlcastor/Email-Sorter

    This is a team of agents powered by crewai that are able to receive, classify, search, and reply to emails

    Language:Python2100
  • rajat499/nlp

    Email Classification(Linear Classifiers and Bi-LSTMs) and NER using CRF models

    Language:Python2100
  • rajveersinghcse/Email-Classification

    📧Email classification using a Machine Learning Models. It categorizes emails as either "ABUSIVE" or "NON ABUSIVE" based on their content, allowing users to quickly assess the nature of the email messages they input.

    Language:Jupyter Notebook2100
  • syedahmedrz/AI-Based-Spam-Email-Classification-Using-Naive-Bayes

    A spam email classification model using Naive Bayes with machine learning, designed to categorize emails as spam or not spam.

    Language:Python2100
  • AdrianEpi/SBlocker

    SPAM Blocker is a program that pretends to be a mail classifier that detects SPAM and HAM (no spam mail).

    Language:C++1100
  • akash18tripathi/Multinomial-Naive-Bayes-from-Scratch

    This repository contains a Jupyter notebook implementing the Multinomial Naive Bayes algorithm from scratch for an email classification task of SPAM or HAM. The notebook also includes a comparison of the results obtained with the scikit-learn implementation of Multinomial Naive Bayes.

    Language:Jupyter Notebook110
  • harshpreet931/Spam-Email-Classification

    A lightweight and fast Naive Bayes-based spam email classifier written in C.

    Language:C110
  • jeus0522/ML-Project-Email-Spam-Classifier

    ML project focused on email spam classification, demonstrating data preprocessing, model training, and evaluation using Python and scikit-learn.

    Language:Jupyter Notebook1100
  • ramnath-subramanian18/Email-Classification-Backend

    A Python Flask backend using decision tree classifiers, ChatGPT, JWT authentication, and MongoDB storage for an email classification system; containerized with Docker for seamless deployment.

    Language:Python1302
  • ramnath-subramanian18/EmailClassifier-ReactFrontend

    Frontend code for an email classification system with Decision Tree classifier, integrated ChatGPT, JWT authentication, MongoDB storage, and Dockerized modules.

    Language:JavaScript1202
  • 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:Python1200
  • TarunPathak/EmailClassifier

    ML Based Email Classifier

    Language:Python1200
  • vinesh70/MailGuard-Intelligent-Spam-Detection

    MailGuard is an intelligent spam detection tool that classifies emails as spam or ham using a Multinomial Naive Bayes model. Built with Streamlit, it leverages natural language processing techniques for text cleaning and feature extraction.

    Language:Python1100
  • danaiamirali/email-spam-classifier

    A logistic regression email spam classifier.

    Language:Jupyter Notebook0101
  • DefineUseless/COE-005-ECE41S11---Prediction-and-Machine-Learning

    A Repository Submitted in Partial Fulfillment of the Requirements for the Course Prediction and Machine Learning (COE 005)

    Language:Jupyter Notebook0000
  • noonanj5atwit/Spam_Email_Detector

    A machine learning model that classifies emails as spam or non spam

    Language:Jupyter Notebook0100
  • RuvenGuna94/Llama-agent-spam-classifier

    Llama-Agent Spam Classifier is an AI-powered system that categorizes emails as Important, Casual, or Spam using CrewAI and the Llama 3 model. It automates email management with multi-agent collaboration, enhancing communication efficiency. 🚀

    Language:Python00
  • Abhishekmkumar/ML_Message_Classification

    Explores the use of machine learning algorithms to classify messages and emails as 'Spam' or 'Not Spam'.

    Language:Jupyter Notebook
  • aldotestino/word-freq-email-classification

    Simple email classifier using word frequency and Logistic Regression

    Language:Jupyter Notebook10
  • Aryan10Raj/Email_Classification-Spam-or-Ham-Developed

    This project demonstrates email classification using logistic regression.

    Language:Jupyter Notebook
  • Martinmjal/jbook_ml202330

    A project that evaluates different machine learning and deep learning models for spam emails detection

  • MrfoxAK/SMS-Email-Spam-Classifier

    This is a sms / email spam classifier project

    Language:Jupyter Notebook10
  • RiturajS12/email_classification

    This project is an email classification website that determines whether an email is spam or ham (not spam) using Bernoulli and Multinomial Naive Bayes algorithms. The web application is built with Flask.

    Language:Jupyter Notebook10