Coursera Data Science Capstone Project

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.

• 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 app makes intensive use of methodology “tidy data” principles achieved by the following steps:

• Input:Raw text files
• Clean training data by separating into 2, 3, 4 ngrams
• Sort ngrams by frequency and save as repos
• N grams function: uses a “back-off” type prediction model
• Output: next word prediction

• Step 1: Open the App
• Step 2: Input a phrase.
• Step 3: Press “Submit”.