Publications by Alessandro Galletto
Data Science Capstone. Milestone Report.
Data Science Capstone. Milestone Report. Alessandro Galletto 7/1/2020 1 GETTING AND CLEANING THE DATA INTRODUCTION This report is part of the John’s Hopkins Data Science Course Spacialization. The assignment requires to analyse several files with common txets in order to model the usual pattern of texts and develop an algorithm in order to sug...
2289 sym R (7708 sym/22 pcs) 9 img 2 tbl
Normal Distribution Presentation
Normal Distribution Shiny app - PresentationAlessandro Galletto1/1/2020 My First Shiny Web App I've wanted to see the normal distribution and I was curios for the seed functionality and how changes the histogram. I order to have results reproducibility it is needed to have random variables but not so random and setting the seed is basic. The ...
1099 sym R (12 sym/1 pcs) 1 img
Document plotly
1/1/2020 Plotly: volcano dataset data(volcano) plot_ly(z=volcano, type="surface") Plotly: mtcars dataset plot_ly(mtcars, x=mtcars$hp, y=mtcars$mpg, mode="markers", color=mtcars$wt, text=paste("Weight:", mtcars$wt)) ...
72 sym R (165 sym/2 pcs)
Norm Distribution
RPresentation - Normal Distribution Shiny appAlessandro Galletto1/1/2020 My First Shiny Web App I've wanted to see the normal distribution and I was curios for the seed functionality how changes the histogram. I order to have results reproducibility it is needed to have random variables but not so random and setting seed is basic. The web app...
919 sym R (12 sym/1 pcs)
Leaflet demo
R Markdown #Day of today: 31st of January, 2019 My page with leaflet: Alessandro Galletto m <- leaflet() %>% addTiles() %>% addMarkers(lat=41.562779, lng=2.002236, popup="I'm here!") m ...
98 sym R (112 sym/1 pcs)
Prediction Assignment
EXECUTIVE SUMMARY For the data downloaded from the web, severals tasks for cleaning the data are done: removing near zero variance variables, variables with no values and descriptive columuns (user_name) that provide no information for the model. The training data is split in two subsets (one for training and the remaining 30% for testing) and th...
1131 sym R (10516 sym/24 pcs) 1 img
test
knitr::opts_chunk$set(message = FALSE) SUMMARY This document analyses the injuries, fatalities and economic damages that are caused by the event types measured in the U.S. National Oceanic and Atmospheric Administration’s (NOAA) storm database. The most dangerous events for people safety are Tornados, Thunderstorm winds and Flash floods, Exces...
977 sym R (4225 sym/28 pcs) 3 img
Presentation Capstone Final
Data Science PresentationAlessandro Galletto27th January, 2020 Introduction This is the final project for the Data Science Course by John Hopkins University. It consists in developing a shiny app that predicts the next word for a sentence. The app carries out these functions: Entry field for a sentence Prediction algorithm for the next word ba...
1010 sym 1 img