Tutorial 49: Dimensionality Reduction and its types | PCA, principal component analysis explained

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SVD
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Principal Component Anlysis
"Machine Learning
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Principal Component Analysis, is one of the most useful data analysis and machine learning methods out there.
It can be used to identify patterns in highly complex datasets and it can tell you what variables in your data are the most important.
Lastly, it can tell you how accurate your new understanding of the data actually is, In this video, I go one step at a time through PCA,




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