Mathematician with knowledge of Power BI, Python and Machine Learning. @Linkedin. @GitHub.
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.