Beginner – Expert Linear Algebra, with Practice in Python.

Beginner – Expert Linear Algebra, with Practice in Python.

What you’ll learn

  • Understanding Matrix Algebra and applying it in solving linear equations and transformations, with practical examples in Python.
  • Mastering vectors, vector properties, vector spaces, sub spaces and application in coordinate systems. Fundamental sub spaces and how they can be computed.
  • Mastery of Orthogonal and Orthonormal vectors and orthogonal projections. Then computing minimal distances & Gram Schmidt orthogonalization.
  • Matrix Decompositions like eigen, cholesky and singular value decompositions. Mastery of Diagonalization, full rank approximation and low rank approximation.
  • Matrix inverses, least square and normal equation. Linear Regression and Kaggle House Prediction Practice.
  • Explaining and deducing Principal Component Analysis (PCA) from scratch and applying it to face recognition using the Eigen Faces algorithm.
Deal Score0
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