text_plain_output_1.png image_output_1.png
from matplotlib import style

from subprocess import check_output

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

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import style
style.use('fivethirtyeight')
import sklearn
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split
import seaborn as sns
from sklearn import metrics
from subprocess import check_output
data = pd.read_csv('../input/train.csv')
test = pd.read_csv('../input/test.csv')

data = data.dropna()
test = test.dropna()
print(data.shape)
print(test.shape)