BaggingEnsembleLearning.py

## Bagging Ensemble of Same Classifiers (Decision Trees)
from sklearn.ensemble import RandomForestClassifier  
classifier= RandomForestClassifier(n_estimators= 10, criterion="entropy")  
classifier.fit(x_train, y_train) 


## Bagging Ensemble of Different Classifiers 
from sklearn.ensemble import BaggingClassifier
from sklearn.svm import SVC
clf = BaggingClassifier(base_estimator=SVC(),
                         n_estimators=10, random_state=0)
clf.fit(X_train,y_train)