This article explains how to programmatically identify and deal with outlier data (it's a follow-up to "Data Prep for Machine Learning: Missing Data"). Suppose you have a data file of loan ...
Examples of outlier data include a person's age of 99 (either a very old applicant or possibly a placeholder value that was never changed) and a person's country of "Cannada" (probably a transcription ...
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