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


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