What it does This repo collects solutions to every programming assignment and quiz from Andrew Ng’s foundational Machine Learning course on Coursera, plus lecture slides. It’s essentially a study aid for students who hit a wall and want to peek at working MATLAB implementations of linear regression, neural networks, SVMs, and the rest of the 2011-era curriculum.

The interesting bit The course itself is a genuine classic — the one that launched a million ML careers — but this repo adds nothing pedagogically new. The author explicitly asks you to try the assignments yourself first, which is fair, then provides the escape hatch.

Key highlights

• Complete MATLAB solutions to all programming assignments
• Quiz answers included (academic integrity implications left as exercise for reader)
• Lecture slides bundled for offline reference
• Verified completion certificate displayed as social proof
• 1,159 stars suggests many students have found it during late-night debugging sessions

Caveats

• Code is solutions, not a library; you can’t pip-install anything here
• MATLAB/Octave focus feels increasingly archival as Python dominates ML education
• No tests, no CI, no modern packaging — just raw .m files and PDFs

Verdict Grab this if you’re currently stuck on Ng’s course and need to unblock yourself. Skip it if you’re looking for reusable tools or a principled alternative to doing your own homework.