This lesson series asks students to use a machine learning specialization to explore multiple case studies between various predictive models and analyze an intelligent application that makes predictions from data.
At Lockheed Martin, I worked in the FBM Avionics department to understand the current systems and processes related to QNOTE closures. I was able to meet a myriad of engineers, technicians and other LM members who allowed me to see a glimpse of their work experience.
This ETP will focus on students learning about the statistics of Cardiovascular Disease (or Heart Disease), which is the leading global cause of death. They will be interpreting real statistical data about Cardiovascular Disease looking at different factors, like age, race, and ethnicity.