Decision Trees, Random Forests, Bagging & XGBoost: R Studio
$13.00 in stock
Decision Trees and Ensembling techinques in R studio. Bagging, Random Forest, GBM, AdaBoost & XGBoost in R programming
300,000+ Enrollments | 4+ Rated | 160+ Countries
What Will I 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
- Students will need to install R Studio software but we have a separate lecture to help you install the same
- 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