Platon214
📧 Email-Spam-Detection-Project - Simple Email Filtering Made Easy
📦 Overview
This project detects whether an email message is Spam or Not Spam using machine learning techniques. The application utilizes the TF-IDF Vectorizer and the Naive Bayes algorithm to classify emails efficiently.
🎯 Features
- Simple interface for users
- Fast email classification
- High accuracy rate in distinguishing between Spam and Not Spam
- Easy to set up and run, even for beginners
🚀 Getting Started
To get started with the Email Spam Detection project, follow these steps:
- Download the Software
- Visit the Releases page to download the latest version of the application.
- Install Required Packages
- You need to install some packages to run the software. To do this, navigate to the folder where you downloaded the files and run:
pip install -r requirements.txt
- You need to install some packages to run the software. To do this, navigate to the folder where you downloaded the files and run:
- Train the Model
- To start detecting spam emails, you first need to train the model. Run the following command:
python src/train_model.py
- To start detecting spam emails, you first need to train the model. Run the following command:
- Make Predictions
- After training the model, you can predict if a new email is spam or not. Use this command:
python src/predict.py
- After training the model, you can predict if a new email is spam or not. Use this command:
📥 Download & Install
To download the application, please visit the Releases page. Choose the latest version available.
After downloading, unzip the file and follow the installation instructions provided above. Ensure you have Python and Pip installed on your machine.
🖥️ System Requirements
Before you proceed, here are the basic system requirements:
- Operating System: Windows, macOS, or Linux
- Python Version: Python 3.6 or higher installed
- Memory: At least 4GB of RAM
- Storage: Minimum of 100MB free space
💬 Frequently Asked Questions
How do I know if my email is Spam?
After running the prediction script, the output will indicate if the email you entered is classified as Spam or Not Spam.
Do I need any special tools to run this project?
No special tools are needed other than Python and the required packages. You can manage everything from your command line.
Can I contribute to the project?
Yes, contributions are welcome! You can fork the repository, make your changes, and submit a pull request.
🔧 Troubleshooting
If you encounter any issues while running the application, consider the following tips:
- Ensure your Python and Pip installations are correctly set up.
- Double-check that you are in the correct directory when running commands.
- If any required packages fail to install, try installing them individually.
🗂️ Resources
📞 Support
If you have any questions or need further assistance, you can open an issue in the GitHub repository or contact the repository maintainer. We are here to help.
🔗 Acknowledgments
Thank you to the contributors and community for supporting the Email Spam Detection project. Your feedback helps us improve.
Remember, to download and run the software, visit the Releases page now!