Random Forest

 

Random forests are a popular supervised machine learning algorithm.

• Random forests are for supervised machine learning, where there is a labeled target variable.
• Random forests can be used for solving regression (numeric target variable) and classification (categorical target variable) problems.
• Random forests are an ensemble method, meaning they combine predictions from other models.
• Each of the smaller models in the random forest ensemble is a decision tree.

Source: https://www.youtube.com/watch?v=ok2s1vV9XW0&list=PLeo1K3hjS3us_ELKYSj_Fth2tIEkdKXvV&index=51

https://www.datacamp.com/tutorial/random-forests-classifier-python