Data Analysis for ML/AI
Feature distributions for ML
Scaling, transformations, target encoding, and how EDA leaks into models.
5 lessons
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Work through these in order—each lesson builds on the previous one.
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Lesson 1 of 5
Scaling features
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Lesson 2 of 5
Encoding categorical features
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Lesson 3 of 5
Transformations that help (or hurt) models
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Lesson 4 of 5
EDA-induced leakage
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Lesson 5 of 5
Feature stability over time