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| author | A Farzat <a@farzat.xyz> | 2025-10-28 20:52:16 +0300 |
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| committer | A Farzat <a@farzat.xyz> | 2025-10-28 20:56:59 +0300 |
| commit | 07e4b9c98680db3da7c11239aac56446e2aa195c (patch) | |
| tree | c20f30856fd49f614f650a9b7d1be0a2fbad08b4 /content/blog/csca5632-final/index.md | |
| parent | fc1bc662301f23c038d1c3d5e3eccce514f4aff7 (diff) | |
| download | farzat.xyz-07e4b9c98680db3da7c11239aac56446e2aa195c.tar.gz farzat.xyz-07e4b9c98680db3da7c11239aac56446e2aa195c.zip | |
Correct directory name of ML blog post
Diffstat (limited to 'content/blog/csca5632-final/index.md')
| -rw-r--r-- | content/blog/csca5632-final/index.md | 20 |
1 files changed, 0 insertions, 20 deletions
diff --git a/content/blog/csca5632-final/index.md b/content/blog/csca5632-final/index.md deleted file mode 100644 index f3747e6..0000000 --- a/content/blog/csca5632-final/index.md +++ /dev/null @@ -1,20 +0,0 @@ -+++ -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). |