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np.cumsum(pca.explained_variance_ratio_) num_components = np.argmax(cumulative_variance >= 0.95) + 1 Visualization of high-dimensional data in lower dimensions: After applying dimensionality reduction, you can plot the reduced data using libraries like Matplotlib or Seaborn to visualize the data in