email-classification

There are 2 repositories under email-classification topic.

• ManasviGoyal / Gmail-Classification

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

  machine-learningpythonpandasgmailexcelnumpyscikit-learnbeautifulsoupjupyter-notebooksmatplotlibseabornclassificationemail-classification
  Language:Jupyter Notebook 13

• 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.

  email-parsingemail-insightsemail-nlpemail-classificationpython-machine-learningpytorch-machine-learningunsupervised-machine-learningunsupervised-clusteringunsupervised-classification
  Language:Python 8

• IOEPAS / zippy

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

  email-classificationemail-intentemail-prioritizationintent-classificationmlnlpnlp-machine-learning
  Language:Jupyter Notebook 6

• 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.

  machine-learningemail-classification
  Language:Python 6

• Ayo-folashade / email-classification

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

  pythonemail-classificationlogistic-regressionnaive-bayesnlp-machine-learningtf-idfvoting-classifier
  Language:Python 4

• 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.

  natural-language-processingnaivebayesclassifierfeature-selectionstopword-removalemail-classification
  Language:Jupyter Notebook 4

• AdrianEpi / SBlocker

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

  spamemail-classifieremail-classificationspam-detectionspam-filter
  Language:C++ 1

• rajat499 / nlp

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

  nlpemail-classificationnamed-entity-recognition
  Language:Python 1

• 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.

  emailemail-classificationinternshipproject
  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.

  data-scienceemail-classificationemail-classifieremail-managementemail-processingmachine-learningnatural-language-processingnlppdf-attachmentautomated-vs-human
  Language:Python 1

• TarunPathak / EmailClassifier

  ML Based Email Classifier

  email-classificationmachine-learningnaive-bayespython
  Language:Python 1
• 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.

  categorizationclassificationemailemail-classificationjupyter-notebookmultinomial-naive-bayesnaive-bayesnlpnlp-machine-learningnltknltk-pythonpipelinepythontext-classification
  Language:Python 1

• 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)

  covid-detectiondata-sciencedeep-learningdeep-reinforcement-learningemail-classificationgenerative-adversarial-networkmachine-learningneural-networkneural-style-transferspam-classificationstock-market-predictiontitanic-kaggle
  Language:Jupyter Notebook 0

• 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.

  email-classificationmultinomial-naive-bayesnaive-bayespythonsmoothingspam-classificationtext-preprocessing
  Language:Jupyter Notebook

• aldotestino / word-freq-email-classification

  Simple email classifier using word frequency and Logistic Regression

  dockeremail-classificationfastapilogistic-regressionpythonreactscikit-learn
  Language:Jupyter Notebook

• Martinmjal / jbook_ml202330

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

  deep-learningemail-classificationmachine-learningnlpsmotespam-detectionstacked-machine-learning-models

• noonanj5atwit / Spam_Email_Detector

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

  deep-learningemail-classificationkeras-tensorflowmachine-learningneural-networkspam-detectiontensorflowtext-processing
  Language:Jupyter Notebook