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

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

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

This course includes:

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