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Most ML problems in real life don’t constrain you to use linear regression or a CNN either. But there will be some metric you need to optimize. What would take
by janalsncm 1y ago
Most ML problems in real life don’t constrain you to use linear regression or a CNN either. But there will be some metric you need to optimize.
What would take this repo to the next level is to have a reproducible data generation function for each exercise as well as a reasonable metric which must be passed. I don’t see anything that requires my classification auc to be over 0.5 which would be a basic criteria of bug-free code.
- Exorust 1y agoIt's also what most people ask when they go for interviews. I was reverse engineering the ML interview pipeline for myself and that's how I stumbled upon all this. I think the data aspect does make sense tho. I might add that as the next thing to do