Data Analysis for ML/AI
Exploratory data analysis
Build intuition before modeling: distributions, outliers, correlations, hypotheses.
5 lessons
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Lessons in sequence
Work through these in order—each lesson builds on the previous one.
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Lesson 1 of 5
Distributions and outliers
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Lesson 2 of 5
Correlation caveats
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Lesson 3 of 5
EDA checklist
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Lesson 4 of 5
The EDA workflow
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Lesson 5 of 5
Automated EDA tools