Dealing with missing data in data science projects
How not to lose valuable information due to missing data
Published in
5 min readJun 13, 2020
It’s about connecting dots….. they are real in data science.
Missing data always existed and has always been a problem. People typically deal with them on an ad hoc, case-by-case basis depending on how large is the dataset and how big is the problem.
