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End-to-end implementation of Spam Detection in Email using Machine Learning, Python, Flask, Gunicorn, Scikit-Learn, and Logistic Regression on the Heroku cloud application platform.

Home Page: https://spam-email-filtering-system.shehansanjula.dev

License: MIT License

Procfile 0.08% Python 9.39% HTML 90.54%
accuracy-metrics content-filtering dataset email-validation flash gunicorn heroku jupyter-notebook linear-regression machine-learning

spam-email-filtering-system-public's Introduction

Spam Detection in Email using Machine Learning

Spam-Email-Filtering-System

As an information security analyst, email is a very important tool for communication. One important feature to ensure effective communication is spam filtering. How exactly does the spam filtering system work? Is it possible to build a more effective spam filtering system from scratch?

Made with love in Sri Lanka

🔧 Technologies & Tools

Kaggle Jupyter-Notebook Scikit-Learn GitHub OS DDoS protection Python version HTML JavaScript CSS

🖥️ Web App

If you want to view the deployed model, click on the following link:

Heroku

Colab

👨‍💻 Here is a sneak preview of the web app:

GIF


📕 Walkthrough - Check the content of your mail to see if it's spam?

Spam-test-1

Spam-test-2


📗 Walkthrough - How do you determine if your mail is Ham mail?

Ham-test-1

Ham-test-2


♥️🔌Powered by

Heroku Flask Gunicorn

Spam-Email-Filtering-System

Spam-Email-Filtering-System

License

MIT

spam-email-filtering-system-public's People

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