KMeans-Clustering-Customer-Segmentation and customer-segmentation-ml

KMeans-Clustering-Customer-Segmentation
31
Emerging
customer-segmentation-ml
24
Experimental
Maintenance 0/25
Adoption 6/25
Maturity 15/25
Community 10/25
Maintenance 10/25
Adoption 3/25
Maturity 11/25
Community 0/25
Stars: 15
Forks: 2
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 4
Forks: —
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: GPL-3.0
Archived Stale 6m No Package No Dependents
No Package No Dependents

About KMeans-Clustering-Customer-Segmentation

NhanPhamThanh-IT/KMeans-Clustering-Customer-Segmentation

👨 K-Means Clustering Customer Segmentation is an interactive Streamlit app that uses machine learning to group customers by income and spending habits. It helps businesses target marketing, personalize offers, and gain insights with easy retraining, visualizations, and modular code.

About customer-segmentation-ml

Man2Dev/customer-segmentation-ml

Customer Segmentation for Marketing Optimization K-Means clustering on credit card data.

Related comparisons

KMeans-Clustering-Customer-Segmentation and Mall-Customers-Segmentation KMeans-Clustering-Customer-Segmentation and K-means_customer_segmentation

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