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Customer Segmentation using Un-Supervised Machine Learning

May 14 @ 5:40 pm - 6:40 pm

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Hi Everyone,

Welcome to Norfolk Data Science Meetup.

Meetup Topic: Customer Segmentation using Un-Supervised Machine Learning

Have you come across a situation when a Chief Marketing Officer of a company tells you – “Help me understand our customers better so that we can market our products to them in a better manner!”

We are familiar with predicting specific insights for a phenomenon, but here structures within data without them being tied down to a specific outcome. The method of identifying similar groups of data in a dataset is called clustering. Entities in each group are comparatively more similar to entities of that group than those of the other groups. Let us discuss how Gaussian Mixture and K-Means Methods achieve this.

Complete beginners are welcome.

Please comment below if you have any questions and I hope to see you there.

Cheers!

Good Read: http://ucanalytics.com/blogs/customer-segmentation-cluster-analysis-telecom-case-study-example/

GitHub Repo: Links will be updated soon in the comments.

Prior Installations/Setup (Optional):

Jupyter Notebook: http://joshlawman.com/getting-set-up-in-jupyter-notebooks-using-anaconda-to-install-the-jupyter-pandas-sklearn-etc/

Scikit-Learn: https://scikit-learn.org/stable/install.html

Details

Date:
May 14
Time:
5:40 pm - 6:40 pm
Website:
https://www.meetup.com/NorfolkDataSci/events/261355813/

Venue

ODU Innovation Center
501B Boush St
Norfolk, VA 23510 us
Website:
https://percolatorspace.com/venue/odu-innovation-center/

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