text_plain_output_1.png
from subprocess import check_output

import warnings

import numpy as np
import pandas as pd
from sklearn.decomposition import PCA
from sklearn.model_selection import KFold
from sklearn import linear_model
from sklearn.metrics import make_scorer
from sklearn.ensemble import BaggingRegressor
from sklearn.ensemble import RandomForestRegressor
from sklearn import svm
from sklearn.metrics import r2_score
from sklearn.ensemble import AdaBoostRegressor
from sklearn.model_selection import cross_val_score
from sklearn.tree import DecisionTreeRegressor
from sklearn.model_selection import GridSearchCV
import matplotlib.pyplot as plt
import tensorflow as tf
import seaborn
import warnings
from numpy import linalg as LA
warnings.filterwarnings('ignore')
from subprocess import check_output
print(check_output(['ls', '../input']).decode('utf8'))