NumPy Linear Algebra | Python # 3

☕️ Buy me a coffee: https://paypal.me/donationlink240 🙏🏻 Support me on Patreon:   / ahmadbazzi   Learn NumPy Linear Algebra in just ONE VIDEO !! 00:00:00 Intro 00:02:31 Jupyter setup 00:06:23 Numpy setup 00:08:16 Markdown cell 00:10:40 Array 00:11:26 type function 00:13:01 Indexing Array elements 00:14:36 Dimensions of Array 00:15:38 Matrix 00:17:36 Extracting a sub-matrix 00:19:22 Modifying matrix elements 00:22:15 Identity matrix 00:22:50 Zeros matrix 00:24:14 Ones matrix 00:24:48 Constant matrix 00:27:48 Random matrix 00:31:11 Mean 00:33:35 Standard Deviation 00:36:49 dtype function 00:38:31 Matrix Addition 00:41:06 Matrix Subtraction 00:41:45 Matrix Point-wise Multiplication 00:43:00 Matrix Point-wise Division 00:46:08 Matrix Products 00:46:44 np.matmul function 00:50:40 np.dot function 00:51:40 np.inner function 00:52:46 np.tensordot 00:55:52 Matrix Exponentiation 00:57:13 Kronecker Product 00:59:14 Matrix Decompositions 00:59:23 Cholesky Decomposition 01:03:06 QR Decomposition 01:05:05 EigenValue Decomposition (EVD) 01:08:58 SingularValue Decomposition (SVD) 01:10:08 Matrix Norms 01:10:10 L2 Frobenius Norm 01:10:24 Condition Number 01:10:56 Determinant of a matrix 01:11:10 Rank of a matrix 01:11:33 Trace of a matrix 01:13:05 Solving Linear Equations Ax = b 01:13:39 Inverse of a matrix 01:14:10 np.linalg.solve function 01:14:56 Moore-Penrose Pseudo-Inverse 01:15:53 Recap Instructor: Dr. Ahmad Bazzi IG:   / drahmadbazzi   Browser: https://www.google.com/chrome/ NumPy: http://www.numpy.org/ Instructor: Dr. Ahmad Bazzi 🔴 Subscribe for more videos on Machine Learning and Python. 👍 Smash that like button, in case you find this tutorial useful. 👁‍🗨 Speak up and comment, I am all ears. #PythonProgramming #Python #Numpy