This presentation explains an App for predicting the next word of an user input. The top requirements where: - intuitive and minimalistic design - high efficiency/ small processing delays - possible use on mobile devices Online-Demo at https://fschoen.shinyapps.io/NextWordPrediction/

This paper is a milestone report of the capstone Project for the Data Science Specialization of Johns Hopkins University on Coursera. The objective of this project is to create an algorithm for predicting the next words of a user input (for example in text messaging) and implementing it in an app. Therefore a dataset (provided by Swiftkey) consisting of news articles, blog entries and twitter messages is analysed using Natural Language Processing (NLP). This report shows the retrieval and preprocessing of the data. It presents results of basic exploratory analysis. Also future plans for creating the prediction algorithm are described.

This presentation describes a shiny app, which predicts the average gas use per mile based on a linear regression model considering the total weight, number of cylinders and transmission type of a car

This study examinens data of the U.S. National Oceanic and Atmospheric Administration (NOAA) regarding health and economic storm damages in the USA. It presents the most damaging event types according to injuries, fatalities, property damage and crop damage.