Actividad integradora Lucila Andaloro

This presentation outlines the development and logic behind a Shiny app designed to predict the next word in a phrase using trigram, bigram, and unigram models. It includes the algorithm strategy, app functionality, and potential future improvements. Created for the final capstone project of the Data Science Specialization.

选择高变基因

This report presents a full survival analysis workflow applied to a dataset of hypertensive patients, focusing on the effect of HIV disease stage (advanced vs. non-advanced) and other covariates on time to death. The analysis is part of the July 2025 HTN Survival Methods Workshop and is co-authored by Joseph Hogan, Bernard Osang'ir, Rudradev Sungepta, Ziv Shkedy, Richard Mugo, and Ann Mwangi.