The Next Word Predictor is a Shiny application that leverages a text prediction algorithm to anticipate the next word(s) based on user input.

Explaining the Next Word Predictor Developed as part of the Capstone Project in the Johns Hopkins Data Science Specialization

The current analysis focuses on the most frequent words found in the Blogs, News, and Twitter datasets, using a random sample of each.

Slidy showing the code to create a shiny app to compare wages between groups of public sector in Brazil.

interactive leaflet map as part of the assignment

Plot_ly graph portraying the number of appointees by minister in federal Executive in Brazil

Leaflet map with the current NGOs in the city of Araruama-Brazil

This is the assignment for the module on Machine Learning in the Johns Hopkins Data Science Specialization

This report explore the NOAA Storm Database and answer some basic questions about severe weather events. I what follows we present two basic information. The first is the human injuries caused by the weather events. Then, we discuss the economic consequences of the same events along the whole time series starting in 1950.