- For devs
Avoiding The Blind Spots Of Missing Data With Machine Learning
You have a project, and you want to apply machine learning to it. You start simple: add one feature, collect data, create a model. You add another feature that’s really useful, but it’s only represented in half of your data points. You want to be smart and use all the data you have (including the one with missing values), but how do you do that?