Use cases / Data Science
Collaborative filtering
Understand how collective user tastes can be used to find products that are similar to each other and make personalized recommendations based on purchase history.
Hex makes it easy to build a recommendation engine using collaborative filtering with Python, and then deploy it as an interactive web app.
Watch demo(2 min)
Explore a live demo
What you can build (app)
How it's built (logic)
Full screen
See what else you can build
Non-linear dimensionality reduction
Visualize high dimensional data using non-linear reduction techniques
Linear Dimensionality Reduction
Visualize high dimensional data using linear reduction techniques
Time series analysis in Snowpark
Forecast hourly restaurant traffic using UDTFs in Snowpark
Ready to get started?
You can use Hex in two ways: our centrally-hosted Hex Cloud stack, or a private single-tenant VPC.