This project is part of the Coursera Data Science Capstone, focused on building a predictive text model using a large corpus of English text from blogs, news, and Twitter. The goal is to create a Shiny web application that suggests the next word a user is likely to type. This milestone report presents an exploratory data analysis of the training datasets. It includes summary statistics, basic text preprocessing, and initial visualizations to understand the structure and content of the data. The report also outlines the planned steps for building the prediction algorithm using n-grams and deploying it in an interactive Shiny app.

exercícios propostos para as 3 planilhas propostas (Teste de Velocidade, Assemble time e Experimento Anova) em Testes Estatistico!

Presentation for the Cars and Crime Symposium

ENEMDU trimestral Abril_Mayo_Junio_2025

This is for practice

Manhattan plot of the GWAS analysis of the Upper half mean length of cotton MAGIC population

Entrega final - Trabajo de fin de curso 2025-1 ESTADÍSTICA PARA EL ANÁLISIS POLÍTICO 2 (POL304-0690) Profesora: Marylia Cruz Autoras: - Adriana Cortijo (20211314) - Carla Mamani (20203898)

A descriptive guide to running and interpreting XGBoost.