https://github.com/juzershakir/creating-customer-segments

Applied Unsupervised Learning techniques on product spending data collected for customers of a wholesale distributor to identify customer segments hidden in the data.
https://github.com/juzershakir/creating-customer-segments

classification customer-segments data-exploration data-visualization feature-selection gaussian-mixture-models k-means-clustering machine-learning-nanodegree machine-learning-tutorials matplotlib numpy pandas pca python scikit-learn seaborn silhouette udacity unsupervised-learning unsupervised-machine-learning

Last synced: 28 days ago
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Applied Unsupervised Learning techniques on product spending data collected for customers of a wholesale distributor to identify customer segments hidden in the data.

• Host: GitHub
• URL: https://github.com/juzershakir/creating-customer-segments
• Owner: JuzerShakir
• Created: 2018-05-19T03:04:52.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-09-30T08:51:35.000Z (about 6 years ago)
• Last Synced: 2023-04-28T03:48:50.457Z (over 1 year ago)
• Topics: classification, customer-segments, data-exploration, data-visualization, feature-selection, gaussian-mixture-models, k-means-clustering, machine-learning-nanodegree, machine-learning-tutorials, matplotlib, numpy, pandas, pca, python, scikit-learn, seaborn, silhouette, udacity, unsupervised-learning, unsupervised-machine-learning
• Language: HTML
• Homepage: http://nbviewer.jupyter.org/github/JuzerShakir/Creating-Customer-Segemnts/blob/master/report.ipynb
• Size: 2.82 MB
• Stars: 3
• Watchers: 2
• Forks: 2
• Open Issues: 0

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