dibgerge/ml-coursera-python-assignments resource

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5570 stars · 2141 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Python rewrites of the programming assignments for Andrew Ng's Coursera Machine Learning MOOC, delivered as Jupyter Notebooks with re-written instructions. The assignments support submission to the original Coursera grader and can be run locally or in an online Deepnote workspace.

Use cases

• complete Andrew Ng's machine learning course assignments in Python instead of MATLAB
• practice implementing machine learning algorithms from scratch in Jupyter notebooks
• submit Coursera ML assignments for grading using Python code
• learn the Python machine learning ecosystem as a beginner
• work through course exercises in a browser without installing MATLAB or Octave

When to choose

• you are enrolled in the Coursera Machine Learning class and prefer Python over MATLAB/Octave
• you want guided, notebook-based exercises with grading support
• you want to run assignments in a browser via Deepnote

When to avoid

• you need a production machine learning library or framework
• you are not taking or following the Coursera course and want standalone tutorials
• you need actively maintained content with a license for redistribution

Facets

learning-resource · maturity maintenance

machine-learning developer-tools machine-learning education tutorials data-science python cross-platform coursera jupyter-notebooks andrew-ng assignments mooc python-rewrite education web

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