MATLAB solutions for Andrew Ng’s famous ML course

What it does

This repository hosts completed MATLAB programming exercises for Andrew Ng’s foundational machine learning course on Coursera. The author also links out to Chinese blog posts that contain quiz answer keys, turning the repo into a combined code-and-answers reference. It is essentially a solutions archive for a classic curriculum.

The interesting bit

With 2,025 stars, the repo has become a de facto companion text for the course, suggesting that plenty of learners still wrestle with MATLAB syntax or just want to verify their vectorized implementations. The author’s polite disclaimer—offering to remove the quiz links if the original bloggers object—adds a quaint formality to a straightforward solutions manual.

Key highlights

• Completed MATLAB exercise code for Andrew Ng’s Coursera machine learning course.
• Curated links to external Chinese-language quiz solution guides.
• Minimal, no-frills structure: code and attribution, nothing else.
• 2,025 stars indicate it is a widely-used reference.

Caveats

• The README is vague about exactly which exercises or algorithms are included.
• Quiz content depends on external blog links that the repository does not control.

Verdict

Useful if you are currently taking the course and need a working reference to compare against your own attempts; otherwise, it is just someone else’s homework.