When you say "real world examples", what do you have in mind? A lot of "real world" uses of random forests are basically just directly calling scikit-learn or something like that. In my neural network post, I implemented a simple neural network from scratch because I felt like it'd be valuable for beginners, but I wouldn't call that "real world".
When you say "real world examples", what do you have in mind? A lot of "real world" uses of random forests are basically just directly calling scikit-learn or something like that. In my neural network post, I implemented a simple neural network from scratch because I felt like it'd be valuable for beginners, but I wouldn't call that "real world".