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Commit 5c1272a

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Update GeneralMLPrep.md
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‎DataScience/GeneralMLPrep.md‎

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@@ -90,7 +90,7 @@ How Bagging Works:
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* Multiple Samples: Generate multiple bootstrap samples from the original dataset.
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* Model Training: Train a separate model (e.g., decision tree) on each bootstrap sample.
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* Final Prediction: Aggregate predictions from all models (e.g., majority voting for classification)
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* Final Prediction: Aggregate predictions from all models (e.g., majority voting for classification, averaging for regression)
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Advantages:
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==========

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