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1 1.2 What is Data Science?. 176 12.6.1 The Eigenvalue Criterion 176 12.6.2 The Proportion of Variance Explained Criterion 177 12.7 Performing Pca with K = 4 178 12.8 Validation of the Principal Components 178 12.9 How to Perform Principal Components Analysis Using Python 179 12.10 How to Perform Principal Components Analysis Using R 181 12.11 When is Multicollinearity Not a Problem?.
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