Correlation Is Pairwise. Multicollinearity Isn't
Almost every regression project I've seen in the last decade starts the same way. Load the data, df.corr(), plot the heatmap, scan for red squares, drop one variable from every pair above 0.8. Then we
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Data science professional with around 15 years experience, working to on Pricing and Media analytics practice for CPG companies. Currently building a micro-learning app for Stats/ ML learning. Exploring the AI goodness (and the slop) like the rest.
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