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Overview
Decision Trees and Ensembling techinques in R studio. Bagging, Random Forest, GBM, AdaBoost & XGBoost in R programming What you'll learn: Solid understanding of decision trees, bagging, Random Forest and Boosting techniques in R studioUnderstand the business scenarios where decision tree models are applicableTune decision tree model's hyperparameters and evaluate its performance.Use decision trees to make predictionsUse R programming language to manipulate data and make statistical computations.Implementation of Gradient Boosting, AdaBoost and XGBoost in R programming language You're looking...
Syllabus
- Introduction
- Setting up R Studio and R Crash Course
- Machine Learning Basics
- Simple Decision trees
- Simple Classification Tree
- Ensemble technique 1 - Bagging
- Ensemble technique 2 - Random Forest
- Ensemble technique 3 - Boosting
- Add-on 1: Preprocessing and Preparing Data before making any model
- Congratulations & About your certificate
Instructor
Start-Tech Academy
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