🚀 Email Spam Classification App

Email Spam Classification App is a real-time email spam classification application developed with Streamlit. It employs TF–IDF vectorization for feature extraction, a Multinomial Naive Bayes classifier for prediction, and joblib for efficient model serialization and loading.

Maintain the integrity of your inbox by accurately identifying and filtering unwanted messages.

---

🔍 Features

• Instant Predictions
  TF–IDF + MultinomialNB pipeline delivers results in milliseconds.
• Streamlit UI
  Clean, interactive front-end for one-click spam detection.
• Modular Design
  Model and vectorizer serialized with joblib for easy updates.
• Easy Setup
  All dependencies listed in requirements.txt:

  pip install -r requirements.txt
  

• Open Source MIT-licensed - customize and extend as you like.

🛠️ Installation & Usage

1. Clone The Repo

   git clone https://github.com/fatimesevilgen/email-spam-classifier.git
   cd email-spam-classifier

2. Create and activate a virtual environment (optional but recommended)

   python -m venv venv
   # macOS/Linux
   source venv/bin/activate
   # Windows
   venv\Scripts\activate

3. Install Dependencies

   pip install -r requirements.txt

4. Run The App

   streamlit run app.py

📁 Project Structure

email-spam-classifier/
    ├── predict.py                   # Predict method with model & vectorizer
    ├── app.py                       # Streamlit application code
    ├── spam_model.joblib            # Trained MultinomialNB model
    ├── tfidf_vectorizer.joblib      # Trained TF–IDF vectorizer
    ├── requirements.txt             # Python dependencies
    └── README.md                    # This file

🤝 Contributing

1. Fork this repository

2. Create a feature branch (git checkout -b feature/awesome-new)

3. Commit your changes (git commit -m "Add awesome new feature")

4. Push to your branch (git push origin feature/awesome-new)

5. Open a Pull Request 🚀

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.

📬 Contact

Questions, suggestions, or just want to say hi?

• Email
• Linkedin
• Github