Implemented Preprocessing steps, Feature Extraction techniques and Naive Bayes Classifier in C++. Moreover, we have also implemented all the steps using python for comparative analysis.

An Email Spam Classifier project, helps you detect your spam email from correct email. Try it out here!

Identifying and distinguishing spam SMS and Email using the multinomial Naïve Bayes model.

Would you like to know which e-mail is spam and which is ham?

One of the primary methods for spam mail detection is email filtering. It involves categorize incoming emails into spam and non-spam. Machine learning algorithms can be trained to filter out spam mails based on their content and metadata.

This is an Email/SMS spam detection system, built as a project for AutumnnHacks Hackathon. It classifies messages you recieve on emails and sms as spam or not spam.

An end-2-end project

Proyek ini bertujuan untuk memeriksa bahwa email yang diterima adalah spam atau ham melalui klasifikasi teks di WEKA menggunakan algoritma J48 Decision Tree dan Naive Bayes Multinomial Text.

Classify the message is spam or not using Multinomial Naive Bayes.

Email Spam Detection using Machine Learning

Email Spam Detection Using Logistic Regression

Welcome to the "Compozent_ML_AI_OCT23" repository, a compilation of machine learning and artificial intelligence projects focusing on solving real-world challenges. Authored by Viraj N. Bhutada, these projects demonstrate proficiency in advanced machine learning techniques.

Email Spam detection using Machine Learning

Linear classifier using Support Vector Machines (SVM) which can determine whether an email is Spam or not with an accuracy of 98.7%. Used regularization to prevent over-fitting of data. Pre-processed the E-mails using Porter Stemmer algorithm. Used a spam vocabulary to create a Feature Vector for each E-mail. Prints the top 15 predictors of spam

Email Spam Classifier using Naive Bayes algorithm

A email spam classifier based on Multinomial Naive Bayes model and running on Streamlit.

A simple model based on naive bayes algorithm to classify spam emails from regular (ham) emails.

Email-Spam-Classifier using Naive Bayes Algorithm

Data Mining Techniques for Stroke and Email Spam Prediction