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Coursera Data Science Capstone Final Project Submission

Presentation

Next Word Predictor App

Instructions

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:

  1. A Shiny app that takes as input a phrase (multiple words) in a text box input and outputs a prediction of the next word.
  2. 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.

Review Criteria

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?

Slide Deck

  • Does the link lead to a 5 slide deck on R Pubs?
  • Does the slide deck contain a description of the algorithm used to make the prediction?
  • Does the slide deck describe the app, give instructions, and describe how it functions?
  • How would you describe the experience of using this app?
  • Does the app present a novel approach and/or is particularly well done?
  • Would you hire this person for your own data science startup company?

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