Random Forest Classifier- Explained easily in just 2 Simple Steps.

Random forest is an example of ensemble learning which is used both in classification and regression problem statements.

Co-relate the blog with this diagram for easier understanding.

Must know terms:

Ensemble learning = Using the output of multiple algorithms or models rather than depending on single algorithm or model.

RS = Row Sampling = Taking some sample of…