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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", ]
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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>
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