Image Processing, Data Visualization, Data Science, Python, Linear Algebra.
are rich in information, whereas the last features contain mostly noise with negligible information in them. This transferability allows us to retain the first few principal components, thus reducing the number of variables significantly with minimal loss of information. This article focuses more