Quiz · 4 questions
🛠️ Practical ML Workflow
From notebook to artifact
Level 0Scout
0 XP0/48 lessons0/11 achievements
0/120 XP to next level120 XP to go0% complete
Quiz
01Why move from notebook to a
src/ module that ships?02Why pin learning rate, dataset hash, code commit, and seed?
03Why shadow-deploy a new model before promoting it?
04Default deployment shape for most classical ML systems?
Comments 0
🔔 Reply notifications (sign in)Sign in — Please sign in to comment.
No comments yet — be the first.