Wine Drinkers

Recommending wines and segmenting wine drinkers

Here I explore online sales data for a wine store. In part I, I use k-means clustering to segment the customers. In Part II, I use matrix factorization to build a wine recommender.

Documents:

recommenders.py has functions for building recommenders.
WineDrinkers.ipynb goes through the workflow of clustering wine drinkers.
WineDrinkers2.ipynb goes through the workflow of building wine recommenders.

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To see a full description, see the blog post here.