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The Email Spam Classifier is a web application powered by machine learning to discern whether an email is spam or not. Built using Flask, Bootstrap, and a trained machine learning model, the project provides a user-friendly interface for inputting email content. The underlying model, trained on diverse email data, swiftly predicts the spam or not.

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RPramodh/Email-Spam-Classifier-using-ML

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Email Spam Classifier

Check out the Email Spam Classifier website here to experience the power of machine learning in email classification.

This web application uses a machine learning model to classify emails as spam or not spam (ham). It is built using Flask, Bootstrap, and a trained machine learning model.

Overview

The project consists of a Flask web application that provides a simple user interface for entering email content. The underlying machine learning model, trained on email data, predicts whether the input email is spam or not.

Prerequisites

Before running the application, make sure you have the following dependencies installed:

  • Python
  • Flask
  • scikit-learn (for the machine learning model)
  • Bootstrap (for styling)

Try it Out

Visit the Email Spam Classifier website here to test the spam classification functionality.

Feel free to enter different email content and see how the model classifies them!

About

The Email Spam Classifier is a web application powered by machine learning to discern whether an email is spam or not. Built using Flask, Bootstrap, and a trained machine learning model, the project provides a user-friendly interface for inputting email content. The underlying model, trained on diverse email data, swiftly predicts the spam or not.

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