[Last updated 5/2023] Decision Trees, Random Forests, Bagging & XGBoost: R Studio (Udemy – Engsub)

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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
Time video:
 6 hours (55 Lessons + Documents)
Teacher: 
Start-Tech Academy
Total weight:
3.03 GB

Original link:
https://www.udemy.com/course/machine-learning-advanced-decision-trees-in-r/
Link : 
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