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44:04
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Charles Edeki -- Math Computer Science Programming
Bagging Ensemble Method: Bagging Machine Learning Algorithm
Ensemble Learning: Combining multiple individual models (weak learners) to achieve better predictive performance than any single model could achieve alone. Goal: Reduce bias, variance, or improve prediction accuracy. Two Main Categories: Bagging: Parallel combination (e.g., Random Forest) Boosting: Sequential combination
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