You Clean the Data! Nice

That was a good idea, that data was nasty grimey, tons of nulls everywhere, there’s no way it would have worked on any of your supervised ML algorithms. At least, it wouldn’t have worked very well. The data might have said how many cubs a panda couple would have had, but it didn’t completely capture the emotional compatibility required to have a lot of kids. Alright, the data’s clean now, what do you do?

Make a Decision Tree

Use some ole Fashioned Regression

Use Naive Bayes

Give into peer pressure and use a Neural Net!