Python Idle
The spam crisis has escalated. A single model is no longer enough — the security board wants evidence that you've explored the solution space. Your mission: build a complete classification pipeline from scratch. Vectorize the data, train at least two different models, compare their accuracy scores, and identify the champion. No hand-holding this time — prove you've mastered classification.
~30 minproject1000 rows
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Goals: 3 tests
should have a best_model with a .predict method
best_accuracy should be greater than 0.9
model_scores should contain at least 2 models
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