Shashank911/PCA-Dimensionality-Reduction
The objective of this task is to apply Principal Component Analysis (PCA) to reduce the dimensionality of the dataset while retaining maximum variance. The performance of a classification model is compared before and after applying PCA.
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Feb 11, 2026
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