Georiga State University

Project Lead

The project's ultimate purpose is to have a better understanding of what data scientists

accomplish on a smaller scale. The project required me to use R Studio to address a current

world business challenge that detects early high cardiovascular risk, in which a cardiovascular

center will be able to utilize machine learning to detect early heart failure. As a result, the

cardiovascular center with this model can provide early detection of heart disease, giving the

patient the opportunity for disease reversal:

• Gathered needed data through web scraping through R Studio

• Cleaned and Process data

• Ran multiple models such as : Logistic regression, Neural networks, Classification trees, Random forest, K nearest neighbors

• Consider domain expertise to guide models, having in mind other metrics than overall

accuracy

• developed a predictive model and addressed a related business problem.

• Utilized machine learning in order to figure a model that best fits the data sets and results

needed