GitHub / sabin74 / Customer_segmentation_and_product_recommendation
This project combines Unsupervised Learning techniques Clustering (KMeans, DBSCAN, Agglomerative, MeanShift, GMM) and Association Rule Mining (Apriori) to analyze customer purchase behavior from an online retail dataset.
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PURL: pkg:github/sabin74/Customer_segmentation_and_product_recommendation
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 22.1 MB
Dependencies parsed at: Pending
Created at: about 2 months ago
Updated at: about 2 months ago
Pushed at: about 2 months ago
Last synced at: about 2 months ago
Topics: association-rule-learning, clustering, customer-segementation-analysis, k-means-clustering, machine-learning, pca-analysis, uci-machine-learning, unsupervised-learning