LECTURE SERIES-PCA IN ML|N.PADMASHRI|SNS INSTITUTIONS

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Principal Component Analysis (PCA) is a powerful dimensionality reduction technique widely used in Machine Learning. This video explains how PCA works, from finding principal components to reducing feature dimensions while retaining essential data. Learn when and why to use PCA for better model performance and visualization. Perfect for beginners and enthusiasts aiming to grasp core ML concepts!"