Visualizing Decision Trees in Python

I'm sorry but everyone does the same example in the Internet. All of the people use iris dataset and same methods. Because of that I can't implement the visualization on my own dataset. For example I dont create X and y with these methods. So how can i implement this :/

Can you help visualize random forests? I know they are basically a black box but they are an aggregated result of simple decision trees

Bro this is great! i'm working on my uni project which revolves around decision trees and the random forest algorithm for image segmentation.

Thx.

Do you upload the code somewhere (ipynb / py)?
It is not a long one, but anyway...

Thanks.

Pretty cool example! Thanks dude!!

don t really understand but its hand up because you have to do more video...

I was literally looking for a python code to make Decision trees but couldn't find one. And today NeuralNine posted video on the very thing I was looking yesterday, the timing was insane 🤯

Really cool!

Already knew about it, but it´s pretty cool. Do you know if there are any options to export that is some interactive (JS) way?