README.md

📧 Email Spam Filter

Introduction

The Email Spam Filter is a tool designed to analyze and filter out spam emails using various criteria and machine learning algorithms. This repository provides a simple yet effective implementation of a spam filter in Python.

How It Works

The tool uses natural language processing (NLP) techniques and machine learning algorithms to classify emails as spam or not spam. It is trained on a dataset of labeled emails and can be used to predict whether new emails are spam.

Features

• Analyzes email content and metadata.
• Uses machine learning algorithms for spam classification.
• Provides a simple command-line interface for testing and usage.

Setup Instructions

1. Clone the repository:

   git clone https://github.com/coderprasnt/email-spam-filter.git
   cd email-spam-filter

2. Install dependencies:

   pip install -r requirements.txt

3. Run the spam filter:

   python spam_filter.py

Usage

The tool can be used to classify emails as spam or not spam. It takes a text file containing the email content as input and outputs whether the email is spam.

Training the Model

To train the spam filter model, run the following command:

python spam_filter.py --train

Predicting Spam

To predict whether an email is spam, use the following command:

python spam_filter.py --email_path "path/to/email.txt"

Example

Here's an example of training the model and predicting whether an email is spam:

1. Train the model:

   python spam_filter.py --train

2. Predict if an email is spam:

   python spam_filter.py --email_path "data/test/spam/spam1.txt"

Conclusion

The Email Spam Filter is a powerful tool for detecting and filtering out spam emails. By leveraging machine learning algorithms, it provides an effective solution for managing email spam.

Contact

If you have any questions or need further assistance, please contact me through my social media channels.

• Telegram: @Witchshophub 🐦