Decision Trees, Random Forests, Bagging & XGBoost: R Studio [FREE]

Free Certification Course Title: Decision Trees, Random Forests, Bagging & XGBoost: R Studio

Decision Trees and Ensembling techniques in R studio. Bagging, Random Forest, GBM, AdaBoost & XGBoost in R programming

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

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

Requirements:

  • Students will need to install R Studio software but we have a separate lecture to help you install the same

Who this course is for:

  • People pursuing a career in data science
  • Working Professionals beginning their Data journey
  • Statisticians needing more practical experience
  • Anyone curious to master Decision Tree technique from Beginner to Advanced in short span of time

This course includes:

  • 6 hours on-demand video
  • 3 articles
  • 15 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion