This is an R Markdown presentation to pitch the Shiny App you can use at https://jordicabral.shinyapps.io/Next_Word_Prediction/ The presentation is part of the Final project Capstone of Data Science Specialization from Johns Hopkinks University by Coursera The purpose of this application is to predict the next word after user enters a sentence without the last word. The application predicts the last word using N-Gram backoff model. The model gets trained using training data set obtained from twiter, blogs, and news data sets.

This function compares different regression models like Linear Regression and some machine learning algorithms: K-NN, Artificial Neural Networks, Support Vector Machine, Decision Tree and Random Forest, and shows the RMSE (Root Mean Square Error) of them to compare the performance with different parameters.