A 5-slide presentation for the Data Science Capstone final project, covering exploratory analysis of English text datasets, n-gram modeling, algorithm design, and deployment of a predictive Shiny web application. Includes sample results and application screenshot. Author: Marco Gigante.

An insightful milestone report as part of the Data Science Capstone project, featuring exploratory analysis and early modeling steps for a predictive text algorithm using blogs, news, and Twitter datasets. Includes data loading, summary statistics, sample lines, histograms, word frequency analysis, and recommended next steps toward a Shiny app. Author: Marco Gigante.

A dynamic Shiny application and reproducible pitch for exploring the mtcars dataset, created for the Developing Data Products course project.

A dynamic slide presentation with an interactive Plotly scatterplot exploring randomly generated data, built in RMarkdown and styled for ioslides.

This interactive map takes you on a personal journey through Italy's most special and iconic places. Discover historic cities, authentic food destinations, beautiful beaches, and cultural and natural treasures scattered across the beautiful Italian peninsula. Created with Leaflet, this map offers an engaging and interactive way to explore the hidden gems that make Italy truly unique.

Machine learning analysis using Random Forest algorithm to predict human activity recognition from accelerometer data. This project applies classification techniques to identify different types of physical activities based on sensor measurements, achieving high accuracy in distinguishing between various exercise patterns.

This report analyzes the U.S. NOAA Storm Database from 1950 to 2011, identifying weather events with the greatest impact on population health and economy. Results include aggregated statistics, plots, and reproducible R code as required by Coursera assignment.