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from sklearn.model_selection import train_test_split

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

test = pd.read_csv('../input/30-days-of-ml/test.csv')
train = pd.read_csv('../input/30-days-of-ml/train.csv')
y = train.target
X = train.drop(['target'], axis=1)
X_train, X_valid, y_train, y_valid = train_test_split(X, y, train_size=0.8, test_size=0.2, random_state=0)

test.head()