ML code quality on Databricks improves when teams:

Question

Accepted Answer

Extract testable modules, add unit tests for transforms, and smoke-test training entry points in CI — Test transforms and training entrypoints — mega-untested notebooks don't scale teams.

Answer

Keep all logic in untested huge notebooks forever

Answer

Disable Git integration

Answer

Store credentials in cells

ML code quality on Databricks improves when teams:

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