Data Science Capstone Project
author:Ramesh Raju Alluri
This presentation will briefly but comprehensively pitchfor predicting the next word.
The application is the capstone project for the Coursera Data Science
specialization held by professors of the Johns Hopkins University and in
cooperation with SwiftKey. 
The Objective
The goal of this exercise is to create a product to highlight the prediction algorithm that you have built and to provide an interface that can be accessed by others. For this project you must submit:
A Shiny app that takes as input a phrase (multiple words) in a text box input and outputs a prediction of the next word.
A slide deck consisting of no more than 5 slides created with R Studio Presenter ( https://support.rstudio.com/hc/en-us/articles/200486468-Authoring-R-Presentations ) pitching your algorithm and app as if you were presenting to your boss or an investor.
Data Product
Data Product
Does the link lead to a Shiny app with a text input box that is running on shinyapps.io?
Does the app load to the point where it can accept input?
When you type a phrase in the input box do you get a prediction of a single word after pressing submit and/or a suitable delay for the model to compute the answer?
Put five phrases drawn from Twitter or news articles in English leaving out the last word. Did it give a prediction for every one?
The Usage Of The Application
The user interface of this application was designed with web in mind. While entering the text (1), the field with the predicted next word (2) refreshes instantaneously and also the whole text input (3) gets displayed.
Additional Information
- Learn more about the Coursera Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1