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This Random Forest in R tutorial will help you understand what is Random Forest, how does a Random Forest work, applications of Random Forest, important terms to know and you will also see a use case implementation where we predict the quality of wine using a given dataset. Random Forest is an ensemble Machine Learning algorithm. Ensemble methods use multiple learning models to gain better predictive results. It operates building multiple decision trees. To classify a new object based on its attributes, each tree is classified, and the tree “votes” for that class. The forest chooses the classification having the most votes (over all the trees in the forest). Now let us get started and understand what is Random Forest and how does it work. Course Length: 27:01 Source: Simplilearn

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