explore these four different categories before we get through really good stuff I need to explain two key words there in machine learning you have something called features this is basically a property of your training data and a label is the output you get from your model after training it so you could say features input levels output it's partially true because you can also have labels on your input data I'm gonna explain that with an example let's say you want the machine learning algorithm to estimate the height of a person based