new_contents: from sklearn import svm
  from sklearn.naive_bayes import GaussianNB, BernoulliNB
  from sklearn.externals import joblib
  
  import asl
  
  threshold = int(len(asl.data) * 0.8)
  training_data = asl.data[:threshold]
  training_target = asl.target[:threshold]
  
  test_data = asl.data[threshold:]
  test_target = asl.target[threshold:]
  
  classifiers = {
          'SVC': svm.SVC(gamma=0.001, C=100.),
          'NB': GaussianNB(),
          'BNB': BernoulliNB(),
      }
  
  for name, clf in classifiers.iteritems():
      print name, 'score:', clf.fit(training_data,
              training_target).score(test_data, test_target)
  
subject: Add script to score different classifiers