Happy New Year, all! I cannot believe it is already January 2018!
This post is the second part of my series on “Working with Incomplete Data,” and I’ll be going through another computational method for filling in the gaps in our data. This time around I will be talking about using machine learning to impute individuals’ gender (male or female) using only their names. In going forward, I assume that you have some basic Python knowledge and are capable of running programs in Python. Continue reading