kuleshov/teaching-material resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1158 stars · 1374 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of Jupyter notebook tutorials prepared as preparatory material for machine learning and deep learning courses at Stanford and Cornell. It primarily covers Python and NumPy fundamentals needed to get started with those classes.

Use cases

• learn python and numpy for machine learning
• prepare for a stanford or cornell ml course
• find a python numpy tutorial notebook
• review python basics before a deep learning class
• teach an intro machine learning course with ready-made material

When to choose

• you need a concise Python/NumPy refresher before starting an ML course
• you are an instructor looking for ready-made preparatory course material
• you prefer learning via runnable Jupyter notebooks

When to avoid

• you need comprehensive machine learning course content beyond Python/NumPy basics
• you want actively maintained or licensed educational material
• you need tutorials on advanced deep learning topics

Facets

learning-resource · maturity maintenance

machine-learning nlp data-science machine-learning deep-learning education tutorials python cross-platform jupyter-notebook numpy python-tutorial course-material stanford cornell

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markdown · JSON · MCP: product_card(name="kuleshov/teaching-material")