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Recognize underfitting and overfitting, implement bagging and boosting, and build a stacked ensemble model using a number of classifiers.

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Datasets		Datasets
Exercise01		Exercise01
Exercise02		Exercise02
Exercise03		Exercise03
Exercise04		Exercise04
Exercise05		Exercise05
Exercise06		Exercise06
Saved Models		Saved Models
LICENSE		LICENSE
README.md		README.md

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Creating Ensemble Models with Python

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Recognize underfitting and overfitting, implement bagging and boosting, and build a stacked ensemble model using a number of classifiers.

machine-learning algorithms bootstrapping stacking boosting bagging overfitting underfitting one-hot-encoding ensemble-modeling

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