As the final project of the Data Science Specialization, students were asked to build a text prediction shiny application. In this presentation the whole process of reaching this goal is presented, together with some explanations of the application.

We used a public dataset to build and train a heart-disease predictor. The model was wrapped into a shiny-app.

Data analysis to find out which storm events have the worst impacts in the US population. First from the health's population point of view and second from the country economy point of view.