In this project we take raw cell phones data, transformed it using Python, and
then implemented the Support Vector Machine algorithm
to categorize cell phones into 4 different types.
It is no surprise that real-world data has many variables to study, making the work very tedious;
however, is there a way to reduce the number of variables to study without losing valuable information?
In this project we will see how the PCA algorithm helps us with that task.
Stroke is a disease that affects the arteries leading to and within the brain.
Using information provided by the hospitals, a predictor will be developed that will give us a percentage of suffering a stroke.