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by skvmb 35 days ago
As a clown, I can confirm.

If you hand me a clean, well-labeled, representative dataset, I can make the model do a respectable little dance by lunch.

If you hand me a Kaggle CSV with duplicated rows, target leakage, mislabeled outcomes, and columns named final_final_v2_REAL, suddenly I’m not doing ML anymore. I’m doing archaeology with a red nose on.

The model is the balloon animal. The dataset is the elephant you had to drag into the tent.