/email-spam-classifier

Application to predict either an email is spam or not using Python, NLTK, Scikit-Learn, and Streamlit.

Primary LanguageJupyter Notebook

Email Spam Classifier

This project will mainly focused on building model to classify either an email is spam or not with dataset obtained from Kaggle. The machine learning algorithm being used in this project is Multinomial Naive Bayes algorithm.

Click here to get the dataset from Kaggle

Application Demo

Email.Spam.Classifier.Demo.mp4

Technology Used

  1. Python
  2. scikit-learn
  3. Streamlit
  4. NLTK

Contributing

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

Contact

LinkedIn: Stanley Claudius