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Pca Analysis

Data science technique: pca-analysis

python
from sklearn.decomposition import PCA
from sklearn.datasets import load_iris

X, _ = load_iris(return_X_y=True)
pca = PCA(n_components=2, random_state=42)
X2 = pca.fit_transform(X)
print(X2.shape)
print(pca.explained_variance_ratio_)

Use Cases

  • machine learning
  • data analysis

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