Topic: email-classification Goto Github
Some thing interesting about email-classification
Some thing interesting about email-classification
email-classification,SPAM Blocker is a program that pretends to be a mail classifier that detects SPAM and HAM (no spam mail).
User: adrianepi
Home Page: https://adrianepi.github.io/SBlocker/doc/html/md__r_e_a_d_m_e.html
email-classification,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.
User: akash18tripathi
email-classification,Simple email classifier using word frequency and Logistic Regression
User: aldotestino
Home Page: https://word-freq-email-classification.vercel.app
email-classification,A machine learning model that predicts whether an email is spam or not.
User: ayo-folashade
Home Page: https://ayo-folashade-email-classification-streamlit-app-7yatf2.streamlit.app/
email-classification,A logistic regression email spam classifier.
User: danaiamirali
email-classification,A Repository Submitted in Partial Fulfillment of the Requirements for the Course Prediction and Machine Learning (COE 005)
User: defineuseless
email-classification,Final Year Project for BCT: "Ranking Emails Based On Priority"
Organization: ioepas
email-classification,Extract Emails from Gmail account, convert to Excel file and classify using various classification algorithms.
User: manasvigoyal
email-classification,A project that evaluates different machine learning and deep learning models for spam emails detection
User: martinmjal
Home Page: https://martinmjal.github.io/jbook_ml202330/
email-classification,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.
User: mike-schmidt-avemac
email-classification,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.
User: ngandhi369
email-classification,A machine learning model that classifies emails as spam or non spam
User: noonanj5atwit
email-classification,Naïve Bayes Algorithm is implemented from scratch in order to classify spam and not spam emails.
User: prigarg
email-classification,Email Classification(Linear Classifiers and Bi-LSTMs) and NER using CRF models
User: rajat499
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.
User: rajveersinghcse
email-classification,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.
User: ramnath-subramanian18
email-classification,Frontend code for an email classification system with Decision Tree classifier, integrated ChatGPT, JWT authentication, MongoDB storage, and Dockerized modules.
User: ramnath-subramanian18
email-classification,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.
User: scimone
email-classification,ML Based Email Classifier
User: tarunpathak
email-classification,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.
User: voxdroid
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.