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Back to the lesson libraryMECHANISM · 12 MIN
M03.4 CONNECT THE MECHANISM

Clean data without erasing the problem

Become a data detective: find a broken unit, a missing value, and a repeated example before they fool a model, without deleting the trip that mattered most.

LESSON OVERVIEW12 min lesson

Lesson overview

Become a data detective: find a broken unit, a missing value, and a repeated example before they fool a model, without deleting the trip that mattered most.

What you’ll explore

  • Choose and document a cleaning rule that preserves the task, respects training boundaries, and distinguishes errors from unusual valid cases.
GO TO THE SOURCE

Original explanations, connected to the research.

scikit-learn — inconsistent preprocessing and data leakageGebru et al. — Datasheets for DatasetsDo We Train on Test Data? Purging CIFAR of Near-Duplicates (Barz & Denzler, 2020)
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