Decision Trees, Random Forests, Bagging & XGBoost: R Studio
Decision Trees and Ensembling techinques in R studio. Bagging, Random Forest, GBM, AdaBoost & XGBoost in R programming
4.54 (236 reviews)
71,767
students
6 hours
content
Feb 2025
last update
$84.99
regular price
What you will 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
Related Topics
2401052
udemy ID
6/6/2019
course created date
10/24/2019
course indexed date
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