villrein fakta ark

ggplot(data = usmap::us_map(), aes(x = long, y = lat, group = group)) + geom_polygon(fill = "lightblue", color = "black") + ggtitle("US Map Example", subtitle = "Raftah Fatima - 22335566")

an analysis on food consumption patterns of countries with better health outcomes during the pandemic

A tutorial that revieweed some basic features of the marginsplot and mplotoffset commands and provide some practical examples of customization.

Actividad 121

This project explores liver disease prediction using a dataset from Kaggle, applying machine learning techniques to classify patients based on key health indicators. The analysis involves comprehensive data exploration, preprocessing, and feature engineering to prepare the dataset for modeling. Two predictive models—logistic regression and decision trees—are implemented in R to assess their effectiveness in identifying individuals at risk of liver disease. Performance evaluation metrics, including accuracy, precision, and recall, are used to compare model effectiveness.

Titanic - Machine Learning from Disaster from Kaggle, I got a score of 0.767