Supervised Machine Learning in Depth ยท Interactive activity

ML pipelines

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It worked in the notebook. Why not in production?

A common story: a team scales data in one notebook cell, encodes it in another, and forgets one step when going live. The predictions turn to garbage, silently.

How can you make that mistake impossible?