Machine Learning Model Deployment with Flask, React & NodeJS

Machine Learning Model Deployment with Flask, React & NodeJS

Use web development tools Node.JS, React and Flask to deploy your Data Science models to web apps!

As the world of Data Science progresses, more engineers and professionals need to deploy their work. This can be due to testing, obtaining user input, demonstrating model capabilities, or deploying a model to production. Due to this, we need to understand and know how to take a Data Science model and deploy it to a Web App and API using some of the most in-demand and popular libraries, including Flask, NodeJS, and ReactJS. Being able to deploy models will make a DS more versatile and in-demand, but it will also benefit the development and ops teams within the company. In this course, we will take a DS model and learn how to deploy it in a practical and hands-on manner, allowing us to simulate a real-world scenario that can be applied to industry practices.

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What you’ll learn

  • Understand the differences between front and back end development
  • Learn the core information and concepts regarding development
  • Learn how to integrate a data science model into web development
  • Deploy data science models as APIs and connect them to the front end

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