Correlation vs Causation

Summary

Correlated variables move together but don't necessarily cause each other — a distinction that prevents wrong conclusions from model feature importance and EDA.

• 1Compute correlation coefficients between features in a real dataset.
• 2Study classic spurious-correlation examples to build skepticism.
• 3Learn what would be needed (e.g. controlled experiments) to establish causation.