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Various techniques to find the optimum number of components or factors using screen plot and one-eigenvalue criterion, in addition to a real-Life case study with PCA and FA.

Dimensionality Reduction Technique with Principal Component Analysis and Factor Analysis.

Linear Regression through a real-life case study.

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