LJadhav25/Principle-Component-Analysis-PCA---Machine-Learning

Principal Component Analysis (PCA) is a statistical technique used in machine learning and data science for dimensionality reduction. The main goal of PCA is to reduce the number of variables in a dataset while preserving as much information as possible.

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