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

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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
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