Beginner – Expert Linear Algebra, with Practice in Python. [FREE]

January 31, 2022

Free Certification Course Title: Beginner – Expert Linear Algebra, with Practice in Python.

Master Linear Algebra, with clear and concise explanations, Practical Examples in various domains like Machine Learning.

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.

Computer scientists, who want to gain a solid foundation in linear algebra and apply it in solving computer related problems
Data scientists and Machine Learning Practitioners or Learners, who want to gain a solid foundation in linear algebra and apply it in solving problems in data science and machine learning.
Mathematics students, who want to gain a solid foundation in linear algebra and apply it in their mathematics courses.
Finance experts, who want to gain a solid foundation in linear algebra and apply it in solving real world problems
Engineers and Engineering students, who want to gain a solid foundation in linear algebra and use it solving engineering related problems.