In this chapter, we learned the basics of Dash and showed how to deploy a model with a hands-on example. Some key points that we discussed were the model implementation phase, three main ways in which a predictive analytics report can be implemented, use of predictive analytics models, and how to use trained models to build an application.
We also learned how to use the Dash framework and Plotly library to build an application. And we learned how to provide interactivity in Dash by writing decorators in functions that take inputs and modify outputs for the application.
Finally, always keep in mind that the point of predictive analytics is to solve problems. When deploying a predictive model, think about the users of your solution first and how to build the solution that works best for them.
