Jadi's ML course: Persian-language notebooks, minus the paywall

What it does

This repo holds the Jupyter notebooks for Jadi Mirmirani’s machine-learning course on Maktabkhooneh, a Persian-language learning platform. It covers the standard Python ML curriculum—data manipulation, model training, evaluation—packaged as runnable notebooks rather than locked video content.

The interesting bit

The README is almost aggressively minimal: one truncated dataset note, three links, and no hand-holding. That bluntness is arguably the point. Jadi’s audience already knows him; they want the artifacts, not another quickstart. The 3.9-million-row ratings.csv truncation (down from something larger) is a rare honest admission of GitHub’s file-size limits, with a workaround baked into the notebooks themselves.

Key highlights

• Tied to a specific Persian-language course, but the notebooks stand alone
• Accompanying slides and blog post linked in README for context
• Dataset truncation handled transparently with download instructions in-notebook
• 1,100+ stars suggests solid traction in the Persian-speaking dev community
• No topic tags, no CI badges, no dependency manifest—just notebooks

Caveats

• README gives zero detail on covered algorithms, prerequisites, or notebook ordering
• No candidate images or screenshots to preview content
• Persian-language course context may limit accessibility for non-Farsi readers

Verdict

Worth a look if you’re a Persian speaker following Jadi’s course, or if you want to see how a known educator structures introductory ML material. Skip it if you need self-contained documentation or an English-language learning path.