text_plain_output_1.png
import os

import seaborn as sns

import warnings

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style('darkgrid')
from sklearn.preprocessing import StandardScaler
from sklearn.cluster import KMeans
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.decomposition import PCA, FactorAnalysis
from scipy.cluster.hierarchy import dendrogram, linkage
import os
for dirname, _, filenames in os.walk('/kaggle/input'):
    for filename in filenames:
        print(os.path.join(dirname, filename))
import warnings
warnings.filterwarnings('ignore')