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
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
How to Enroll Decision Trees, Random Forests, Bagging & XGBoost: R Studio course?
How many members can access this course with a coupon?
Decision Trees, Random Forests, Bagging & XGBoost: R Studio Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!