Characteristic engineering methods for healthcare knowledge evaluation, specializing in real-world challenges and sensible options.
On this tutorial, we proceed the mission Strategies in Characteristic Engineering: Actual-World Healthcare Information Challenges — Half I, diving into a brand new sequence of function engineering methods. Undertaking hyperlink: GitHub
This time, we’ll leverage area data to make function engineering simpler. What does that imply? It includes understanding the precise area we’re analyzing to extract hidden insights from the dataset.
Seen data is easy — suppose lacking values, outliers, creating new variables, or re-categorizing present ones. However uncovering hidden data calls for a extra in-depth strategy.
This degree of research usually solely turns into doable as you acquire expertise and begin tackling superior initiatives. Our focus right here is to apply function engineering grounded in data particular to our area — on this case, healthcare.
