teddyoweh / Dimensionality-Reduction-PCA
Dimensionality reduction is basically a process of reducing the amount of random features,attributes variables or in this case called dimensions in a dataset and leaving as much variation in the dataset as possible by obtaining a set of only relevant features to increase the effiency of a model.
☆11Updated 2 years ago
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