Sorry if this is too noob question, I'm just a beginner.
I have a data set with companies' info. There are 2 kinds of features: financial (revenue and so on) and general info (like the number of employees and date of registration)
I have to predict the probability of default. And the data has gaps: about the half of the companies have no financial data at all. But general features are 100% filled.
What is the best practice for such a situation?
Will be great if you can give some example links to read.