Este projeto explora os 50 livros mais vendidos na Amazon entre 2009 e 2019. O objetivo é identificar padrões de vendas, autores mais frequentes, gêneros mais populares e tendências ao longo dos anos. O relatório inclui: - Tabelas com contagem de livros por autor e por gênero - Gráficos claros e comparativos para facilitar a visualização - Insights sobre os livros que dominaram o Top 50 em diferentes anos Ideal para quem quer entender o mercado de livros e tendências de leitura na última década.

Timeline for fluctuating patterns in ANC for individuals starting with neutropenia pre-RTX

This case study has been prepared on behalf of the Cyclistic Bike-Share Company. It was conducted to demonstrate the skills and experience I have acquired through the Google Data Analytics course. In this document, I will outline my analytical approach and the key competencies I applied to further investigate the business task.

examen 2 todo lo avanzado

The AirQuality dataset in R contains daily air quality measurements collected in New York City from May to September 1973. The dataset includes variables such as ozone concentration, solar radiation, wind speed, and daily temperature. In this analysis, we focus on predicting temperature, which is a key climatic variable with strong implications for environmental studies, health impacts, and energy demand forecasting. We apply two machine learning models: Random Forest, a powerful ensemble method that captures complex, non-linear relationships between predictors, and Neural Network (shallow), which provides an alternative regression approach by simulating interconnected neurons. By comparing the two models, we can assess their predictive performance and understand the relative importance of different meteorological variables in explaining temperature variations during this historical air quality study.

Workshop 3 - Statistics for AI Alberto Dorantes, Ph.D. Tec de Monterrey