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Math for Data Science & Machine Learning in Python
Introduction to Course
Math for Data Science Introduction (1:09)
Vectors
Work with Vectors
Basis and Projections of Vectors (5:23)
Matrics
Work with Matrices (3:34)
Matrix Multiplication (4:33)
Matrix Division (4:30)
Miscellaneous
Linear Transformations (3:28)
Gaussian Elimination (2:48)
Determinants (5:14)
Orthogonal Matrices (4:52)
Eigenvalues (5:45)
Eigenvectors (4:29)
Pseudo Inverse (4:06)
Exercise : Math for Data Science and Machine Learning
Exercise (6:29)
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Math for Data Science Introduction
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