Free Certification Course Title: Decision Trees, Random Forests, Bagging & XGBoost: R Studio
Decision Trees and Ensembling techniques in R studio. Bagging, Random Forest, GBM, AdaBoost & XGBoost in R programming
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What you’ll learn:
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Solid understanding of decision trees, bagging, Random Forest and Boosting techniques in R studio
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Understand the business scenarios where decision tree models are applicable
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Tune decision tree model’s hyperparameters and evaluate its performance.
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Use decision trees to make predictions
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Use R programming language to manipulate data and make statistical computations.
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Implementation of Gradient Boosting, AdaBoost and XGBoost in R programming language
Requirements:
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Students will need to install R Studio software but we have a separate lecture to help you install the same
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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
This course includes:
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6 hours on-demand video
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3 articles
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15 downloadable resources
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Full lifetime access
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Access on mobile and TV
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Certificate of completion
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