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CODE EXAMPLE FOR PYTHON

decorrelation of data using PCA

# Import PCA
from sklearn.decomposition import PCA

# Create PCA instance: model
model = PCA()

# Apply the fit_transform method of model to grains: pca_features
pca_features = model.fit_transform(data)
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Tagged: #decorrelation #data #PCA
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