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

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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

Requirements

  • 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

Description

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

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