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Decision Trees, Random Forests & Gradient Boosting in R

Decision Trees, Random Forests & Gradient Boosting in R

What you’ll learn

  • The algorithm behind recursive partitioning decision trees
  • Construct conditional inference decision trees with R`s ctree function
  • Construct recursive partitioning decision trees with R`s rpart function
  • Learn to estimate Gini´s impurity
  • Construct ROC and estimate AUC
  • Random Forests with R´s randomForest package
  • Gradient Boosting with R´s XGBoost package
  • Gradient Boosting parameter tuning
  • Deal with missing data 

Who this course is for:

  • The ideal students of this course are university students and professionals interested in machine learning and business intelligence.

How to Enroll Decision Trees, Random Forests & Gradient Boosting in R course?

  • To Access "Decision Trees, Random Forests & Gradient Boosting in R" 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?

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