Topic: "email-classifier"
Karan9034/AI-Mail-Classifier
AI-Mail-Classifier for Techfest IITB competition
Language: HTML - Size: 94.7 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 7 - Forks: 3

thomasvangurp/spamfilter
Machine learning for filtering out spam in the ENRON spam dataset
Language: Python - Size: 66.2 MB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 6 - Forks: 2

ManasviGoyal/Enron-Classification
Exploratory Analysis of Enron Dataset and Classification using multiple algorithms
Language: Jupyter Notebook - Size: 2.57 MB - Last synced at: 14 days ago - Pushed at: 9 months ago - Stars: 5 - Forks: 5

FarhanShoukat/Text-Classification
A comprehensive comparision of kNN, Naive Bayes and Neural Network in Text Classification
Language: Python - Size: 48.8 KB - Last synced at: 9 days ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 3

avannaldas/EmailsClassification
Classification of emails received on a mass distribution group
Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 6

ayushianan/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 - Size: 3.65 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

hasanulmukit/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 - Size: 61.5 KB - Last synced at: 26 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

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 Notebook - Size: 967 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

AdrianEpi/SBlocker
SPAM Blocker is a program that pretends to be a mail classifier that detects SPAM and HAM (no spam mail).
Language: C++ - Size: 76.8 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Jainish021/Email-Classifiers
This repo has email classifiers based on Naive Bayes classifier, Bernouilli Naive Bayes Classifier and Logistic Regression Classifier.
Language: Python - Size: 1.34 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

jbayardo/aa-tp1
Machine learning on spam
Language: Jupyter Notebook - Size: 79.5 MB - Last synced at: 27 days ago - Pushed at: over 8 years ago - Stars: 1 - Forks: 1

Sauravpandey98/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 - Size: 6.33 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

NilayGaitonde/Email-Classifier
A simple binary email classifier that classifies emails into spam and ham and also performs topic modelling using LDA
Language: Jupyter Notebook - Size: 34.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

oussama95boussaid/messages-emails-classifier
Email Classification Tool
Language: Jupyter Notebook - Size: 36.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ryannono/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 - Size: 66.4 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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 - Size: 119 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

saulTejeda117/Smart-Inbox
The Smart-Inbox repository is a comprehensive collection of machine learning models and techniques for detecting spam emails. It provides a detailed comparison of various approaches, algorithms, and methodologies used in the field of spam email detection.
Language: Jupyter Notebook - Size: 79.1 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

abhinavsaurabh/EmailSpam
Spam Email Detection using Naive Bayes
Language: Python - Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

sumeetkotaria11/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 - Size: 83 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 2

ishmav16/Email-Classification-Spam-or-Ham
Developed a Naive Bayes classifier for classifying the E-mail is Spam or Ham message
Language: Python - Size: 177 KB - Last synced at: 2 months ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 3

ganigavinaya/NaiveBayes
NaiveBayes classifier with an without stop words to classify Ham and Spam emails
Language: Python - Size: 444 KB - Last synced at: 3 days ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0
