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PCA : standardization and how to extract components
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Multivariate statistics and Machine learning - a full course - PCA : standardization and how to extract components

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What you'll learn

This course includes

  • 8.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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See all my videos at https://www.tilestats.com/ In this third video about PCA, we will learn when and why we need to standardize our variables before running a PCA. We will standardize variables based on a simple example. At min 11:05, we will also see how we can use the Kaiser criterion and the scree plot to extract components (reduce the dimensions).

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