Lectures related to Principal Component Analysis: Dimensionality Reduction

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Introduces machine learning basics, performance metrics, optimization techniques, and model evaluation.

Introduces the Young-Eckart-Mirsky theorem and PCA for unsupervised learning and data visualization.