GitHub / g4lius / rfm-customer-profiling
A customer profiling project based on RFM (Recency, Frequency, Monetary) analysis using a dataset from an online retail company in the United Kingdom. The aim is to identify customer habits and create personalized marketing strategies for targeted advertising.
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PURL: pkg:github/g4lius/rfm-customer-profiling
Stars: 2
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 7.11 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: almost 2 years ago
Pushed at: almost 2 years ago
Last synced at: 5 months ago
Commit Stats
Commits: 14
Authors: 6
Mean commits per author: 2.33
Development Distribution Score: 0.571
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/g4lius/rfm-customer-profiling
Topics: clustering-algorithm, dataset, elbow-method, outlier-detection, pandas, python, scatter-plot, scikit-learn, silhouette-score