Using Census data for clustering different counties in the US and segment them into similar groups by applying k-means after reducing the dataset from 33 dimensions to 7 dimensions using Principal Component Analysis (PCA).
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Using SageMaker to demonstrate the use of PCA and KMeans algorithms with Census Data
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