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GitHub / naak-ktr / Customer-Segmentation-for-Airline-Loyalty-Program-Optimization

Airline Customer Segmentation using Unsupervised ML: Implementing K-Means Clustering to categorize airline customers based on their behavior and preferences. This project aims to assist airline companies in tailoring their loyalty programs effectively by identifying distinct customer segments.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/naak-ktr%2FCustomer-Segmentation-for-Airline-Loyalty-Program-Optimization

Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 7.21 MB
Dependencies: 0

Created: 4 months ago
Updated: about 2 months ago
Last pushed: about 2 months ago
Last synced: about 2 months ago

Topics: clustering, customer-segmentation, data-science, k-means-clustering, unsupervised-machine-learning

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