100% Off Coupon - 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.

How to Enroll Beginner – Expert Linear Algebra, with Practice in Python. course?

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