As part of Udacity's Data Scientist Nano Degree (DSND), and using PCA and KMeans, I had to build a model to classify a population and a sample into clusters and compare the distributions of both for over represented and under represented clusters in the sample.
VCpreneur/Unsupervised-Learning-Identify-Customer-Segments
As part of Udacity's Data Scientist Nano Degree (DSND), and using PCA and KMeans, I had to build a model to classify a population and a sample into clusters and compare the distributions of both for over represented and under represented clusters in the sample.
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