# Instantiate the classifier object
SVM_classifier = sklearn.svm.SVC(kernel='poly', degree=5, C=10, coef0=1)
# Instantiate the scaler object
scaler = sklearn.preprocessing.StandardScaler()

# Normalize data
X_train = scaler.fit_transform(X_train)

# Train the classifier
SVM_classifier.fit(X_train, Y_train)