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This is an example of an unsupervised machine learning project using K-means and PCA to find some coorelation within a larger dataset. You will need an AWS account to run this notebook as it uses platform specific SageMaker methods and dependencies. For an overview of the scope, method, analysis, etc. Please read the `Project Report.pdf` file.
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A Machine Learning project using PCA and K-means on a retail (Starbucks) example dataset.
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