{"id":226,"date":"2017-12-17T03:01:00","date_gmt":"2017-12-17T02:01:00","guid":{"rendered":"https:\/\/kindsonthegenius.com\/blog\/2017\/12\/17\/dimensionality-reduction-and-principal-component-analysis-pca\/"},"modified":"2020-08-22T14:47:40","modified_gmt":"2020-08-22T12:47:40","slug":"dimensionality-reduction-and-principal-component-analysis-pca","status":"publish","type":"post","link":"https:\/\/kindsonthegenius.com\/blog\/dimensionality-reduction-and-principal-component-analysis-pca\/","title":{"rendered":"Dimensionality Reduction and Principal Component Analysis (PCA)"},"content":{"rendered":"
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More Detailed Video Explanation Here <\/a>
Video on How to Perform PCA in R here <\/a><\/div>\n

We would explain the concept of dimensionality reduction in a very simple way. In line with the principle of my articles, I would try to be as clear as possible.
In this lesson, we would focus on the explaining the concept and in the next lesson, we would look at the underlying derivation of the technique.
 Content<\/b> <\/p>\n