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NStack automates cloud infrastructure and integrations, so you can focus on data-science. Write regular Python classes, configure which functions to productionise, and publish them to the cloud as shareable, versioned modules. Connect functions to any data sources, such as 3rd-party APIs, databases, or realtime systems, without dealing with infrastructure or operations. What do people use NStack for? Productionise your models in the cloud without complex engineer.
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Focus on science. Not engineering.CONTENT
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In-Depth Tutorial - Productionising a Classifier. Welcome to the NStack Documentation! Please also look at our main GitHub page. Productionise your models and data integration code to the cloud as reusable functions that can be monitored, versioned, shared, and updated. Effortlessly compose workflows to integrate your functions with your data and event sources, without dealing with any infrastructure. Propensity Analysis on your DMP. Churn Modeling on your CRM.
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