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@amankharwal
Created May 5, 2021
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import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
plt.style.use('seaborn-whitegrid')
from sklearn.preprocessing import StandardScaler, MinMaxScaler
from sklearn.decomposition import PCA
from sklearn.cluster import KMeans
from sklearn.metrics.pairwise import cosine_similarity
data = pd.read_csv("credit.csv")
print(data.head())
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