Debugging ML assignments can be tricky but also super rewarding! I usually start by checking the data for issues, verifying model inputs and outputs, and reading error messages carefully. Sometimes, breaking the problem into smaller steps or using print statements/visualizations can make patterns stand out and help pinpoint the problem. Patience and systematic testing are key! Naturopathic Doctor
