Market-Segmentation-EDA-PCA-Kmeans- | find patterns in the data

by Sofiaabi Jupyter Notebook Version: Current License: No License

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kandi X-RAY | Market-Segmentation-EDA-PCA-Kmeans- Summary

Market-Segmentation-EDA-PCA-Kmeans- is a Jupyter Notebook library. Market-Segmentation-EDA-PCA-Kmeans- has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

The goal was to find patterns in the data without trying to make predictions. Performed unsupervised learning in R with basic clustering(k-means) & dimensionality reduction specifically PCA so as to get some insights from the data. This project is useful in planning better marketing strategies.

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Market-Segmentation-EDA-PCA-Kmeans- has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Market-Segmentation-EDA-PCA-Kmeans- has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Market-Segmentation-EDA-PCA-Kmeans- is current.

Quality

Market-Segmentation-EDA-PCA-Kmeans- has no bugs reported.

Security

Market-Segmentation-EDA-PCA-Kmeans- has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Market-Segmentation-EDA-PCA-Kmeans- does not have a standard license declared.

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Without a license, all rights are reserved, and you cannot use the library in your applications.

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Market-Segmentation-EDA-PCA-Kmeans- releases are not available. You will need to build from source code and install.

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Market-Segmentation-EDA-PCA-Kmeans- Key Features

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Market-Segmentation-EDA-PCA-Kmeans- Examples and Code Snippets

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