Coursaly

Decision Trees, Random Forests, Bagging & XGBoost: R Studio

Recent Courses

 

What you’ll learn

  • Solid understanding of decision trees, bagging, Random Forest and Boosting techniques in R studio
  • Understand the business scenarios where decision tree models are applicable
  • Tune decision tree model’s hyperparameters and evaluate its performance.
  • Use decision trees to make predictions
  • Use R programming language to manipulate data and make statistical computations.
  • Implementation of Gradient Boosting, AdaBoost and XGBoost in R programming language
GET ON UDEMY
Tags :
Share This :

Leave a Reply

Your email address will not be published. Required fields are marked *