The mission
Imagine you are an analyst for a national health ministry, and there's a Cardiovascular Diseases (CVDs) epidemic. The minister has made it a priority to reverse the growth and reduce the case load to a 20-year low. To this end, a task force has been created to find clues in the data to ascertain the following:
- What risk factors can be addressed.
- If future cases can be predicted, interpret predictions on a case-by-case basis.
You are part of this task force!
Details about CVD
Before we dive into the data, we must gather some important details about CVD in order to do the following:
- Understand the problem's context and relevance.
- Extract domain knowledge information that can inform our data analysis and model interpretation.
- Relate an expert-informed background to a dataset's features.
CVDs are a group of disorders, the most common of which is coronary heart disease (also known as Ischaemic Heart Disease)....
