Machine Learning Applications: Stroke Prediction

The Stroke Prediction Dataset at Kaggle is an example of how to use Machine Learning for disease prediction.

The dataset comprises more than 5,000 observations of 12 attributes representing patients’ clinical conditions like heart disease, hypertension, glucose, smoking, etc.

For each instance, there’s also a binary target variable indicating if a patient had a stroke.

We can build a … Continue reading Machine Learning Applications: Stroke Prediction →