✨ What you’ll learn:
The concept of Boosting in ensemble learning
How weak decision trees are combined to make a strong model
Step-by-step implementation of Gradient Boosting (GBM), AdaBoost, and XGBoost in R
Compare models and understand when to use each method
Tuning parameters for improved accuracy and performance
📥 Download the CSV file used in this lecture:
https://drive.google.com/file/d/1NwAf...
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