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Summary
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Classroom Contents
Boosting
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- 1 Introduction
- 2 Did you know?
- 3 Introduction to Bias and Variance
- 4 Ensemble Methods
- 5 Boosting
- 6 Understanding Datasets
- 7 EDA
- 8 Model Building for Decision Tree Model
- 9 How Boosting Algorithm works?
- 10 AdaBoost Classifier
- 11 Gradient Boosting Classifier
- 12 XGBoost Classifier
- 13 Bagging vs Boosting
- 14 Summary
