eCourse Site

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

Deal Score0
100% OFF Get Course
Deal Score0
100% OFF Get Course

What you’ll learn

  • Strong understanding of determination bushes, bagging, Random Forest and Boosting methods in R studio
  • Perceive the enterprise situations the place determination tree fashions are relevant
  • Tune determination tree mannequin’s hyperparameters and consider its efficiency.
  • Use determination bushes to make predictions
  • Use R programming language to control knowledge and make statistical computations.
  • Implementation of Gradient Boosting, AdaBoost and XGBoost in R programming language


  • College students might want to set up R Studio software program however we’ve a separate lecture that will help you set up the identical


You are on the lookout for an entire Choice tree course that teaches you every thing it’s essential to create a Choice tree/ Random Forest/ XGBoost mannequin in R, proper?

You have discovered the proper Choice Bushes and tree based mostly superior methods course!

After finishing this course it is possible for you to to:

  • Establish the enterprise drawback which will be solved utilizing Choice tree/ Random Forest/ XGBoost  of Machine Studying.
  • Have a transparent understanding of Superior Choice tree based mostly algorithms akin to Random Forest, Bagging, AdaBoost and XGBoost
  • Create a tree based mostly (Choice tree, Random Forest, Bagging, AdaBoost and XGBoost) mannequin in R and analyze its outcome.
  • Confidently apply, focus on and perceive Machine Studying ideas

Who this course is for:

  • Individuals pursuing a profession in knowledge science
  • Working Professionals starting their Knowledge journey
  • Statisticians needing extra sensible expertise
  • Anybody curious to grasp Choice Tree method from Newbie to Superior briefly span of time

Check Today's 30+ Free Courses on Telegram!

eCourse Site