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sklearncluster

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IsratAfrin826 / KMeans_Clustering_Mall_Customers

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This project applies K-Means Clustering to segment customers based on Annual Income and Spending Score. It uses unsupervised machine learning to identify distinct customer groups and visualize purchasing behavior. Techniques like the Elbow Method and Silhouette Score are used to determine the optimal number of clusters.

plotly pandas seaborn matplotlib sklearn-metrics googlecolaboratory sklearncluster
  • Updated Aug 1, 2025
  • Jupyter Notebook

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