Spam-Ham Email Classifier

Spam-Ham is a powerful email classification tool built with Python. It accurately identifies spam and ham (non-spam) emails using the Naive Bayes classifier and natural language processing techniques.

Features:

• Naive Bayes Classifier: Utilizes the Naive Bayes classifier for email classification.
• Accurate Detection: Provides accurate detection of spam emails, enhancing email security.
• Easy Integration: Offers easy integration with email systems for automated classification.

How to Use:

1. Clone the Repository: Clone the repository to your local machine using the command:

   git clone https://github.com/your_username/spam-ham.git
   

2. Install Dependencies: Install the required dependencies listed in requirements.txt using pip:

   pip install -r requirements.txt
   

3. Run the Classifier Script: Run the classifier script to analyze emails and generate classification results:

   python classifier.py
   

Installation:

You can install the required dependencies using pip:

pip install -r requirements.txt

Usage:

To run the classifier script, use the following command:

python classifier.py

Feedback and Contributions:

We welcome feedback and contributions to improve Spam-Ham. Feel free to open an issue or submit a pull request.

License:

This project is licensed under the MIT License.