Computational Linear Algebra with Python & NumPy
Linear algebra computations using NumPy & SciPy, matrix operations, linear decomposition, principal component analysis
5.00 (3 reviews)
3,029
students
3.5 hours
content
May 2024
last update
$49.99
regular price
What you will learn
Learn the basic fundamentals of linear algebra, such as getting to know its real world applications and important key concepts
Learn about the difference between scalar, vector, matrix, and tensor
Learn how to add and subtract matrix using Numpy
Learn how to multiply matrix using Numpy
Learn how to inverse and transpose matrix using Numpy
Learn how to calculate matrix determinant using Numpy
Learn how to calculate matrix norm, trace, and rank using Numpy
Learn how to solve system of linear equation using Numpy
Learn how to calculate eigenvalues and eigenvectors using Numpy
Learn about LU, QR, and Cholesky decomposition
Learn how to create, slice, and reshape tensor using Numpy
Learn how to build movie recommendation engine using linear decomposition
Learn how to build image compressor using singular value decomposition
Learn how to predict real estate market using linear regression
Learn how to do text mining using non negative matrix factorization
Learn how to perform dimensionality reduction using principal component analysis
Screenshots
5969444
udemy ID
5/12/2024
course created date
5/23/2024
course indexed date
Angelcrc Seven
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