What are the Types of Missing Data?
Having clean, comprehensive, and consistent data is paramount to developing effective algorithms in machine learning. Without perfect data, you’re exposed to bias and skewed results that will lead to improper decision-making. When it comes to missing data, there are three major types: Missing Completely at Random... Read more
Good, Fast, Cheap: How to do Data Science with Missing Data
When doing any sort of data science problem, we will inevitably run into missing data. Let’s say we’re interviewing 100 people and are recording their answers on a piece of paper in front of us. Specifically, one of our questions asks about income. Consider a few... Read more