5, 10 or 20 seats+ for your team - learn more
In this liveProject, you’ll deploy a machine learning model to production so it can be easily used by colleagues. You’ll create a virtual environment for deploying your application, use Flask to build a local web service that returns predictions, and Heroku for remote deployment.
This liveProject is for intermediate Python data scientists who want to expand their capabilities in effective production deployment. To begin this liveProject, you will need to be familiar with the following:TOOLS
Note: The final milestone of this project uses Heroku to the application. Heroko incurs a cost. There is intermittent use, and the Eco option ($5) will be sufficient to get the app working as Eco covers 1000 hours, and we will be using far less than that for this project.
In this liveProject, you’ll make a proven-and-tested machine learning model easily available in production to non-technical users.
geekle is based on a wordle clone.