Introducing random forest - Python Tutorial

- [Instructor] We're going to start getting into some actual machine learning now, starting with an introduction to random forest. Once I introduce random forest from a conceptual level, we'll jump into fitting and evaluating our own random forest model in the next lesson. I want to first note that random forest is one type of a machine learning algorithm that falls into a broader category of ensemble learners. This takes advantage of the ensemble method, which is a technique that creates multiple models and then combines them to produce better results than any of the single models individually. The idea behind ensemble learning is that you can combine a lot of weak models to create a single strong model. The basic idea is that this leverages the aggregate opinion of many over the isolated opinion of one. This method has a very strong theoretical motivation. With that said, we're not going to get into those details in this course. But it's just one of the many reasons that ensemble…