This app predicts the following word for an incomplete text provided by the user.

We will be tackling a brand new problem: analysis of text data and natural language processing. One cornerstone of smart keyboards like the ones developed by Swiftkey is predictive text models. In this capstone we will work on understanding and building predictive text models. This week we will start analyzing a large corpus of text documents. It will require cleaning and analyzing text data.

The number of telephones in various regions of the world in thousands. The regions are: North America, Europe, Asia, South America, Oceania, Africa, Central America. The years are: 1951, 1956, 1957, 1958, 1959, 1960, 1961. The number of telephones have been converted into fractions. Source: AT&T (1961) The World's Telephones. References: McNeil, D. R. (1977) Interactive Data Analysis. New York: Wiley.

This document displays a map with the deepest ocean trenches according to Wikipedia (https://en.wikipedia.org/wiki/Oceanic_trench#Deepest_oceanic_trenches)

Analyze the economic damage and the health problems created by extreme weather events.