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-title = "Spam Email Classification (non-DL)"
-description = "Comparing different machine learning algorithms on the Spam Email Classification problem (deep learning not included)."
-date = 2025-10-22
-[taxonomies]
-tags = ["machine_learning"]
-[extra]
-styles = ["notebooks.css", ]
-+++
-
-This is a small research I made on the performance of different machine learning
-models when classifying spam email. The focus is on supervised models, but without
-including deep learning models.
-
-You can also view the notebook as [a separate page](notebook.html).
-
-<!-- markdownlint-disable MD033 -->
-<iframe title="Spam Email Classification notebook" class="notebook-embed" src="notebook.html"></iframe>
-
-You can also check it on [GitHub](https://github.com/Farzat07/introduction-to-machine-learning-supervised-learning-final-assignment).