text_plain_output_1.png
import os

import numpy as np
import pandas as pd
from scipy import stats
from scipy.cluster import hierarchy as hc
import sklearn
import IPython
import matplotlib.pyplot as plt
from sklearn.model_selection import ParameterGrid
from sklearn.model_selection import train_test_split
from sklearn.metrics import roc_auc_score, mean_squared_error
from sklearn.preprocessing import OneHotEncoder
from pandas.api.types import is_string_dtype, is_numeric_dtype, is_categorical_dtype
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.pylab as pylab
import seaborn as sns
import string
import math
import sys
import os
for dirname, _, filenames in os.walk('/kaggle/input'):
    for filename in filenames:
        print(os.path.join(dirname, filename))