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	PCA: maximal variance (Machine learning classroom) View
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	PCA 11: Eigenvector = direction of maximum variance (Victor Lavrenko) View
	StatQuest: PCA main ideas in only 5 minutes!!! (StatQuest with Josh Starmer) View
	PCA 12: Eigenvalue = variance along eigenvector (Victor Lavrenko) View
	Principal Components (part 3): (statisticsmatt) View
	Principal Component Analysis (PCA) (Visually Explained) View
	Variance, Covariance, and PCA \| Unsupervised Learning for Big Data (Krishnaswamy Lab) View
	Principal Component Analysis (PCA) Simply Explained: Data Directions with Most Variance \| Part 1 (5-Minute Analytics) View