devotuoma/Mall-Customers-Segmentation
In this machine learning project, we will make use of K-means clustering which is the essential algorithm for clustering unlabeled dataset.
This helps businesses organize their customer data to understand different customer groups better. By taking in customer details like age, income, and spending habits, it outputs distinct customer segments. This is ideal for marketing managers, business strategists, or retail analysts looking to tailor marketing efforts more effectively.
Use this if you have customer demographic and spending data and want to identify distinct customer groups for targeted marketing strategies.
Not ideal if you need to predict future customer behavior or require a system that automatically labels new customers into existing segments.
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Last pushed
Jan 28, 2026
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