Question: Steps to convert ML project into an automated pipeline - please correct the sequence? 1 . create single configuration file 2 . Build a prototype
Steps to convert ML project into an automated pipeline please correct the sequence?
create single configuration file
Build a prototype
automate pipeline with DVC
Set up virtual environment so that any dependencies do not interfere with other project's
organise project repository
build experiment ML pipeline
move reusable code to py modules
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