Actividad 21

Completed by Xiao Zhu, September 13th, 2026, In Buenos Aires. A machine learning project built in R to analyze patient health data and predict stroke risk using Logistic Regression and Random Forest models. The project includes data preprocessing, exploratory data analysis, model training, performance evaluation, and prediction deployment.

This presentation explains simple linear regression using an example of exercise time and calories burned.

Ratings for recently watched movies and shows. These were added and exported from a SQL database.