spam-email-detection
There are 0 repository under spam-email-detection topic.
hackerxphantom / Spoof_AnyMail
Most Powerful Send Fake Mail Using Any Mail I'd undetectable
Language:Python 112KalyanM45 / Spam-Email-Detection
This repository contains a Python script that uses various machine learning models to classify spam messages from ham messages. The model is trained on a Popular dataset of Spam emails and we use multiple machine learning models for classification.
Language:Jupyter Notebook 5- SpamBox_Email_Component
seanpm2001 / SpamBox_Email_Component
🥡️✉️📦️ The SpamBox is an open source separate implementation of the typical email spam folder.
Language:CSS 4 - Spam-Email-Detection-using-MultinomialNB
GauravG-20 / Spam-Email-Detection-using-MultinomialNB
The app takes email input in text format from the user and accurately classifies it either as spam or ham (not spam) with an overall accuracy of 95%. You can access the app using the link below.
Language:Jupyter Notebook 1 notsuperganang / Email-Spam-Detector
Repositori ini berisi model untuk deteksi email spam yang diimplementasikan menggunakan Keras dan TensorFlow.
Language:Jupyter Notebook 1AkashBangalkar / Spam-Email-Classification
Machine Learning - Binary Classification
Language:Jupyter Notebookcodewithanirban / CBTCIP
CipherByte Technologies internship in Data Science Repository
Language:Jupyter Notebooktapasya234 / MachineLearningProjects
These are some of the projects that I have worked on while taking the Machine Learning course at UT Dallas under Prof Anjum Chida in Spring 16. Assignment 2 consists of Naive Bayes and Logistic Regression codes for classifying emails as either spam or ham. Assignment 3 consists of Image segmentation using K-Means and Perceptron algorithm for email classification. Both the assignments contain the datasets.