Adding new sample notebook- Analyzing US Census data for population segmentation #286
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added 5 commits
June 13, 2018 14:28
… using PCA and Kmeans to the intro to applying ML folder
djarpin
suggested changes
Aug 17, 2018
| "kernelspec": { | ||
| "display_name": "Python 3", | ||
| "language": "python", | ||
| "name": "python3" |
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Hi @hanman-aws - Sorry it took me so long to point this out... Can you change the kernel to conda_mxnet_p36? That way it opens without a warning in a SageMaker notebook instance.
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Hi @djarpin I just updated it! Let me know if you have any other comments, thanks!
djarpin
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Aug 17, 2018
atqy
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Aug 16, 2022
* Undo import of tf compat v1 * remove tf.compat import
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Just published a blog on using SageMaker (PCA + Kmeans) for population segmentation of US Census data. This is the accompanying notebook file for that blog post. I added a readme file and a notebook file to a folder in the Applying Machine Learning folder.
blog post: https://aws.amazon.com/blogs/machine-learning/analyze-us-census-data-for-population-segmentation-using-amazon-sagemaker/