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scree plot sklearn

from matplotlib import pyplot as plt
from sklearn.decomposition import PCA
import seaborn as sns
import pandas as pd

pca = PCA.fit(X_train)
            
df_var_explained = pd.DataFrame(pca.explained_variance_ratio_)

plt.figure(figsize=(20, 20))

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scree plot sklearn

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