Segmented 38,997 customers from a 51,290 row e-commerce dataset using KMeans clustering in Python (scikit-learn). Identified 4 distinct customer groups -Frequent Buyers, High Value, High Margin, and Low Value - with actionable business recommendations for targeted marketing campaigns.
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Posted Jun 14, 2026
Segmented 38,997 customers from a 51,290 row e-commerce dataset using KMeans clustering in Python (scikit-learn). Identified 4 distinct customer groups -Freq...