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Data analysis using Principal Component Analysis (PCA), Eigenvalues, Covariance matrix, Maximum Likelihood Estimation (MLE), ISOMAP, & Image recognition

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Advanced Analytics & Statistical Concepts

Using PCA, Eigenvalues, Covariance matrix, Maximum Likelihood Estimation (MLE), ISOMAP, & Image recognition.

Summary

Part 1. Application of Concepts in Advanced Analytics

  1. PCA: Food consumption in European countries
  2. Order of faces using ISOMAP
  3. PCA & Eigenfaces for Simple Face Recognition

Part 2. Statistical Theory & Derivation of Concepts

  1. Principal Component Analysis (PCA)
  2. Maximum Likelihood Estimation (MLE) for Gaussian Mean & Variance

Screen Shot 2024-07-06 at 6 31 40 PM

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Data analysis using Principal Component Analysis (PCA), Eigenvalues, Covariance matrix, Maximum Likelihood Estimation (MLE), ISOMAP, & Image recognition

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