BitWithBite
AI & Machine Learning Worksheet
🤖 Saving and Loading Models
SCORE___ / 20
NameClassDate
After this worksheet you can
Persist models with joblibLoad and reuseVersion model filesShip pipeline + model together🧠 Section A · Concept Check ● BEGINNER 4 × 1 = 4
1Sklearn models are commonly saved with:
2Reload with:
3Best artifact to save is the:
4Loading a model in an API lets you:
🧮 Section B · Problem Solving ● INTERMEDIATE 2 + 3×3 = 11
5joblib.dump(pipe, 'model.').
6Never load pickles from sources.
7Code: save and reload a pipeline.
8Why save pipeline not just model?
9Security note on pickle files?
🚀 Section C · Challenge ● CHALLENGE 5
10What metadata should ship with a model file?
💭 Reflection — the most useful thing I learned:
A ___/4 B ___/11 C ___/5 Total ___/20
Teacher's Signature
Parent's Signature
✂ answer key — fold or cut before handing out
1-A 2-A 3-A 4-A | 5 joblib/pkl 6 untrusted 7 = joblib.dump(pipe,'m.joblib'); pipe2=joblib.load('m.joblib') 8 = Inputs must be transformed the exact same way at serve time 9 = They can execute code - only load trusted files | 10 = Version, training date, metrics, feature list