Hands-On Data Science with R

Forecasting and ML App with R

"The key to making a good forecast is not in limiting yourself to quantitative information."                                                                                             – Nate Silver

In this section, we will develop a forecasting and machine learning application using R Shiny. As programmers, we tend to be more intent on developing code than necessarily getting involved in developing web-based frontends and dashboards. The latter is best developed using JavaScript, Node.js, and HTML/CSS.

Note that this chapter contains an advanced application developed in R Shiny. For those new to  Shiny, it would be helpful to review Chapter 11, Going to Production with R) prior to attempting the ML R Shiny application ...