Recently Published
Stroke Prediction Model
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.