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.

To check if the send email was a spam or not. A Flask API to detect spam or ham using Python and Sklearn .

Machine Learning Model to classify if emails are spam or non-spam, and identify the specific words which contribute more in classifying an email.

Created spam-email classifier models using both sckit-learn modules and through the normal process using probabilities

This code performs email spam classification using three machine learning models: Naive Bayes, Support Vector Machines (SVM), and Random Forest Classifier. It evaluates their performance using accuracy scores and classification reports, ultimately identifying Random Forest Classifier as the best performer among the three.

A machine learning model that classifies emails as spam or legitimate using natural language processing techniques.

Machine learning model that predicts whether the 📧 email is spam or not