text_plain_output_1.png
from subprocess import check_output

import numpy as np
import pandas as pd
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from scipy.stats import skew
from sklearn.preprocessing import LabelEncoder, OneHotEncoder
from sklearn.linear_model import LinearRegression
from subprocess import check_output
print(check_output(['ls', '../input']).decode('utf8'))
train_data = pd.read_csv('../input/train.csv')
test_data = pd.read_csv('../input/test.csv')
merged_dataset = pd.concat([train_data, test_data], axis=0)