application_vnd.jupyter.stderr_output_2.png text_plain_output_1.png
from subprocess import check_output

import numpy as np
import pandas as pd
from sklearn.cross_validation import train_test_split
from sklearn.naive_bayes import MultinomialNB, BernoulliNB, GaussianNB
from sklearn.neighbors import KNeighborsClassifier
from sklearn.svm import LinearSVC, SVC
from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier, VotingClassifier, ExtraTreesClassifier, AdaBoostClassifier, BaggingClassifier
from sklearn.gaussian_process import GaussianProcessClassifier
from sklearn.cross_validation import cross_val_score
from sklearn.tree import DecisionTreeClassifier
from sklearn.linear_model import LogisticRegression, LogisticRegressionCV
import matplotlib.pyplot as plt
import seaborn as sns
sns.set(color_codes=True)
from scipy import stats
from scipy.stats import norm, skew
from subprocess import check_output
print(check_output(['ls', '../input']).decode('utf8'))