Predicting Possition from Accelerometers Data through Stochastic Gradient Boosting in Shiny Course Project for Developing Data Products

Graphics of the evolution of cases an deaths from COVID-19 in Bogota, Colombia

Distribution of COVID-19 in Colombia by September

In this project, our goal will be to use data from accelerometers on the belt, forearm, arm, and dumbell of 6 participants (that were asked to perform barbell lifts correctly and incorrectly in 5 different ways) for predict the manner in which they did the exercise.

A report of the ten most frequent causes of fatalities, injuries and costs of property damage, as well as the states most affected by these natural disasters by exploring the U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database in R.