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# libraries used --> | |
import numpy as np | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
from sklearn.model_selection import train_test_split | |
from sklearn.preprocessing import StandardScaler | |
from sklearn.pipeline import make_pipeline | |
from sklearn import metrics | |
from sklearn.datasets import load_digits |
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