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

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

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?

  • To Access "Decision Trees, Random Forests, Bagging & XGBoost: R Studio" Click on Enroll Now button at end of the post. It will redirect you to Udemy Course Page and then you can start the enrollment process.
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  • 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!

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