In this project we analyzed a given data set from two twitter accounts for its characteristics. As a result we implemented a data analysis pipeline and visualized the results.

Involves the analysis of the storm data base of the NOAA addressing the question of the most dangerous and devastating weather phenomenons.

Rpress presentation for the Data Products project assignment shortly explaining the shiny app basacul.shinyapps.io/CHA2DS2-VASc

In this report we used the data set from Velloso, E and co. Qualitative Activity Recognition of Weight Lifting Exercises (http://groupware.les.inf.puc-rio.br/har#ixzz4AKmYoNy4) and constructed four different models that predict the condition group for each participant and evaluated its accuracy.

In this report we analyze a corpus with three text files and analyze its content, characteristics and distribution as well as the next steps.

A presentation for my prediction model a capstone project for the data science specialization track at coursera. It explains the problem, the approach to the problem and the solution with its advantages.