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ispromadhka / Customer-segmentation

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Customer segmentation analysis using K-Means, DBSCAN, and Hierarchical clustering on mall customer data. Identifies 6 distinct customer segments based on income and spending behavior for targeted marketing strategies

python machine-learning clustering machine-learning-algorithms data-analysis unsupervised-learning unsupervised-learning-algorithms clustering-algorithm dbscan kmeans-clustering hierarchical-clustering dbscan-clustering machine-learning-models customer-segmentation clustering-analysis machine-learning-projects unsupervised-learning-algorithm customer-segmentation-analysis customer-segmentation-and-buying-behavior
  • Updated Nov 25, 2025
  • Jupyter Notebook

Debajyoti117 / Machine-learning-Project_-Customer-Segmentation-using-k-means

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Customer segmentation using K-Means clustering to identify actionable customer groups (Premium, Budget, High Spenders, New) for targeted marketing strategies.

python machine-learning eda kmeans-clustering pandas-library clustering-analysis unsupervised-learning-algorithm scikit-learn-python seaborn-plots data-analysis-project data-visualizations customer-segmentation-and-buying-behavior
  • Updated Jul 26, 2026
  • Jupyter Notebook

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