Welcome to the Email Spam Classifier project! This project aims to classify emails as spam or non-spam using machine learning techniques.
This project contains a Streamlit web application that allows users to input a message and get a prediction on whether the message is spam or not. It uses a pre-trained machine learning model built with Python's scikit-learn library.
- Input any message to classify as spam or non-spam.
- Easy-to-use web interface powered by Streamlit.
- Fast and efficient prediction using a pre-trained model.
- Built with Python and popular machine learning libraries.
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Clone the repository:
git clone https://github.com/your-username/email-spam-classifier.git
2.Navigate to the project directory:
cd email-spam-classifier
3.Install dependencies:
pip install -r requirements.txt
4.Run the Streamlit app:
streamlit run app.py
Access the app in your browser at http://localhost:8501.
Input your message in the text area provided. Click the "Predict" button to classify the message. The app will display whether the message is classified as spam or not. Dataset 📊 The project uses the Spambase Dataset from the UCI Machine Learning Repository.
Contributions are welcome! If you find any issues or have suggestions for improvement, feel free to open an issue or submit a pull request.
This project is licensed under the MIT License.
Special thanks to the creators and maintainers of Streamlit and scikit-learn. Credits to the UCI Machine Learning Repository for providing the Spambase Dataset.
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