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https://github.com/kanika300393/customer_segmentation

This project performs customer segmentation on a retail dataset using K-Means clustering. The dataset includes features like annual income and spending score, which are used to group customers into 5 distinct segments. The Elbow method is applied to determine the optimal number of clusters, and visualizations are generated to represent the groups.
https://github.com/kanika300393/customer_segmentation

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This project performs customer segmentation on a retail dataset using K-Means clustering. The dataset includes features like annual income and spending score, which are used to group customers into 5 distinct segments. The Elbow method is applied to determine the optimal number of clusters, and visualizations are generated to represent the groups.

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