Email Spam Filtering

This repository contains the implementation of an email spam filtering system using the Naive Bayes algorithm. The goal of this project is to classify emails as either spam or not spam based on their content.

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Overview

Spam emails are a prevalent issue that can waste user's time and potentially lead to security threats. This project tackles the problem of email spam by building a Machine Learning model using the Naive Bayes algorithm. Naive Bayes is a popular algorithm for text classification tasks, and it leverages the probability theory to make predictions.

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Installation

To use this repository, you need to follow these steps:

1. Clone the repository:

git clone https://github.com/HaykDanghyan/email-spam-filtering.git

2. Open Jupyter Notebook
3. Run Spam Filtering.ipynb and have fun!