text_plain_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import numpy as np
import pandas as pd
from sklearn.ensemble import RandomForestRegressor
from subprocess import check_output
train = pd.read_csv('../input/train.csv')
test = pd.read_csv('../input/test.csv')

train['Age'].fillna(train.Age.mean(), inplace=True)
train['Age'].describe()