Cluster analysis

Build an interactive frontend around the K-means clustering algorithm using Hex, in minutes. Scale, reduce, and encode your features using Pythonโ€” and then create an interactive app using input parameters.

Create no code visualizations of clusters with the click of a button and when you're done, simply hit the publish to share your work.

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Non-linear dimensionality reduction

Non-linear dimensionality reduction

Visualize high dimensional data using non-linear reduction techniques

Linear Dimensionality Reduction

Linear Dimensionality Reduction

Visualize high dimensional data using linear reduction techniques

Time series analysis in Snowpark

Time series analysis in Snowpark

Forecast hourly restaurant traffic using UDTFs in Snowpark

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