plasticweather/customer-segmentation-retail

Customer segmentation of retail data using PCA + K-Means, Agglomerative, and DBSCAN/HDBSCAN, with cluster profiling via radar charts and histograms, and cluster-based top-3 product recommendations.

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MMatthews71/ecommerce-customer-segmentation

Customer Segmentation using K-Means Clustering to identify distinct groups based on purchasing behaviour, enabling targeted marketing strategies for an online retail business.

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Leox2f/credit_card_customer_segmentation

Customer segmentation analysis on credit card users to identify distinct customer groups based on their behavior and characteristics. The analysis uses unsupervised machine learning techniques, specifically K-means clustering, to group customers into meaningful segments.

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dpruthardt/UnsupervisedLearning

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hugohiraoka/Credit_Card_Customer_Segmentation

Classification Model of Potential Credit Card Customers

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Pratyush1296/Clustering-Comparison-between-methods

Language: R - Size: 1000 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

alef-s/Trade_Ahead_Unsupervised_Learning

Analyze the stocks data, grouping the stocks based on the attributes provided, and sharing insights about the characteristics of each group.

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S-CHAN11/Bank-Customer-Segmentation

The objective of this project is to analyze the customers of a bank, categorize them with K-Means and Hierarchical Clustering and evaluate their distinct characteristics

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Yemi-Ak/Unsupervised-Learning-Trade-Ahead

Analyze the stocks data, grouping the stocks based on the attributes provided, and sharing insights about the characteristics of each group.

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