What it does

This repository contains Andrew Ng’s classic Coursera Machine Learning course assignments, solved in Octave/MATLAB. The owner completed the exercises and parked them here. That’s the full description — literally repeated twice in the README, typo intact (“my me”).

The interesting bit

The star count is the puzzle. The code is standard coursework — linear regression, neural networks, anomaly detection — yet it outranks many original projects. This is either SEO luck, a “star this for the solutions” whisper network, or proof that desperate students will click anything at 2 AM before a deadline.

Key highlights

• Complete solutions to all 8 weeks of Ng’s 2011-era ML course
• Written in Octave, the language MATLAB forgot to sue
• README contains zero setup instructions, zero dependencies, zero insight
• 1,118 stars as of counting; no forks, no issues, no community
• The typo “my me” appears in both identical README paragraphs

Caveats

• Academic honor code: using these solutions verbatim likely violates Coursera’s terms
• Octave/MATLAB skills don’t transfer cleanly to modern Python ML stacks
• No license file present; legal status of redistributing course materials is unclear

Verdict

Grab it if you’re stuck on backpropagation at midnight and need a hint. Skip it if you’re looking for production code, pedagogical depth, or anything that wasn’t generated by a student checking a box. The stars are a mirage — this is a parking lot, not a destination.