Python ML Environment & Import Errors

The generic errors that stop an ML script from even running, independent of which model or framework it uses: a binary-incompatible numpy build, XGBoost rejecting a DataFrame’s dtypes, an unpacked None from a function that silently failed, or OpenCV missing entirely.