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This Random Forest in R tutorial will help you understand what is the Random Forest algorithm, how does a Random Forest work, and the applications of Random Forest. You will look at a machine learning use case implementation where we predict the quality of wine using a given dataset. Now let us get started with this Random Forest tutorial!


Below topics are explained in this Random Forest in R tutorial :
00:00 Agenda
00:49 What is Random Forest?
02:48 How does a Random Forest work?
05:17 Applications of Random Forest
07:48 Use case: Predicting the quality of the wine ( 07:48 )

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What is Random Forest Algorithm?
Random Forest is an ensemble Machine Learning algorithm. Ensemble methods use multiple learning models to gain better predictive results. It operates by 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).

📚Random Forest in R Article: https://bit.ly/3fhXQX0

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