‫Hey there.
‫It's Andre here.
‫Now, in the previous video, we saw Daniel use something called a decision tree and use this model
‫from so I could learn to create our machine learning model.
‫Didn't that just seem like magic?
‫How does that actually work?
‫Well, when it comes to psychic learn and machine learning models, we're essentially telling a computer
‫to, hey, program yourself, figure out the instruction yourself, figure out the function.
‫Right.
‫And a decision tree is essentially saying, hey, create an if else statement program by yourself.
‫So right here we have a lot of, if else, statement programs visualize.
‫And what we're essentially saying by running that function is saying, hey, based on the data that
‫we provide, I'm not going to tell you if this is true, then do this.
‫If this is false, then do this.
‫I'm not going to tell that for you.
‫I want you to figure out for yourself and by yourself, create a decision tree.
‫And if else block if ll statements to predict the next time we give you data.
‫That's all it's doing.
‫It's essentially programming itself based on the data to figure out what are the if else, blocks.
‫Isn't that cool?
‫Thought I should add that I'll see you in the next one.
‫By by.