When I was in grad school, I learned the hard way -- by my poor showings in data science competitions -- that I was not handling missing data correctly. That motivated me to learn how to handle missing data the right way.
What is missing data? In simple terms, it's data where values are missing for some of the attributes. Let's look at five techniques to handle it correctly.