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Dimensionality reduction is a process of minimizing the quantity of random variables into consideration by obtaining a list of principal variables.[58] In other words, It's a technique of lessening the dimension of your feature established, also known as the "quantity of capabilities".For instance, deep learning algorithms such as convolutional and