Beginner Expert Linear Algebra with Practice in Python

[AD-TEAM]

5.99 GB | 2h 34min 49s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 Welcome.mp4 (5.64 MB)
2 General Introduction.mp4 (11.4 MB)
3 About this Course.mp4 (15.29 MB)
4 Python Installation.mp4 (18.17 MB)
5 Introduction to Python.mp4 (134.94 MB)
6 Conditional Statements.mp4 (89.56 MB)
7 Loops.mp4 (93.2 MB)
8 Methods.mp4 (88.44 MB)
1 Symmetric matrices.mp4 (66 MB)
2 Quadratic forms.mp4 (39.81 MB)
1 Left and Right Inverse.mp4 (39.77 MB)
2 Pseudo Inverse.mp4 (20.31 MB)
1 Pre-Requiscites.mp4 (9.3 MB)
2 Least Square and Normal Equation.mp4 (104.7 MB)
3 Linear Regression.mp4 (232.53 MB)
4 Kaggle House Price Prediction.mp4 (254.17 MB)
1 Pre-Requiscites and Rationale.mp4 (36.71 MB)
2 Principal Component Analysis Theory.mp4 (244.31 MB)
3 Eigen Faces.mp4 (1.06 GB)
1 Matrix Definition 1.mp4 (38.62 MB)
10 Matrix Inverse - RREF.mp4 (100.71 MB)
11 Matrix Inverse - GAUSS.mp4 (65.45 MB)
12 Matrix Inverse - Computation.mp4 (91.87 MB)
13 Practical Session.mp4 (105.64 MB)
2 Matrix Definition 2.mp4 (22.71 MB)
3 Matrix Addition.mp4 (16.92 MB)
4 Matrix Multiplication 1.mp4 (75.55 MB)
5 Matrix Multiplication 2.mp4 (39.45 MB)
6 Matrix Properties.mp4 (67.94 MB)
7 Matrix Transpose.mp4 (39.68 MB)
8 Matrix Inverse - Introduction.mp4 (42.98 MB)
9 Matrix Inverse - Echelon Rules.mp4 (76.22 MB)
1 Problem Statement.mp4 (35.65 MB)
2 Application of Matrix Inverse.mp4 (37.08 MB)
3 Gaussian Elimination.mp4 (52.25 MB)
4 Linear Transformations.mp4 (46.37 MB)
5 Transformation Matrix.mp4 (37.29 MB)
6 Special Matrix Transformations.mp4 (57.87 MB)
7 Practical Session.mp4 (60.61 MB)
1 Definition.mp4 (13.02 MB)
2 Addition and Multiplication of Vectors.mp4 (20.1 MB)
3 Dot Product.mp4 (9.79 MB)
4 Magnitude of a vector and unit vectors.mp4 (14.33 MB)
5 Distance between two vectors.mp4 (21.74 MB)
6 Cross Product.mp4 (27.94 MB)
1 Definition.mp4 (78.75 MB)
10 Coordinate Systems and Change of Basis.mp4 (117.37 MB)
11 Dimension and Rank.mp4 (140.57 MB)
12 Practical Session.mp4 (217.51 MB)
2 Subspaces.mp4 (31.3 MB)
3 Linear Combination.mp4 (6.99 MB)
4 Span.mp4 (55.83 MB)
5 Generated Subspace.mp4 (12.73 MB)
6 Linear Independence.mp4 (27.88 MB)
7 Fundamental Subspaces - Nul Space.mp4 (62.37 MB)
8 Fundamental Subspaces - Column Space.mp4 (36.32 MB)
9 Basis.mp4 (54.14 MB)
1 Metric and Normed Spaces.mp4 (51.95 MB)
2 Inner Product Spaces.mp4 (73.06 MB)
1 Orthogonal and Orthonormal vectors.mp4 (105.58 MB)
2 Orthogonal Projection on 1-D Space.mp4 (36.27 MB)
3 Orthogonal Projection on N-D Space.mp4 (116.63 MB)
4 Minimal Distance.mp4 (25.93 MB)
5 Gram Schmidt.mp4 (45.84 MB)
6 Practical Session.mp4 (37.38 MB)
1 Definition.mp4 (59.37 MB)
2 Determinant Properties.mp4 (61.13 MB)
3 System of Linear Equations.mp4 (42.22 MB)
4 Inverse.mp4 (31.29 MB)
5 Areas and Volumes.mp4 (49.38 MB)
6 Trace.mp4 (18.1 MB)
7 Practical Session.mp4 (26 MB)
1 Definition.mp4 (5.98 MB)
2 Eigen Decomposition.mp4 (130.37 MB)
3 Diagonalization.mp4 (57.06 MB)
4 Cholesky Decomposition.mp4 (28.09 MB)
5 Singular Value Decomposition.mp4 (203.19 MB)
6 Full rank approximation.mp4 (56.57 MB)
7 Low Rank Approximation.mp4 (61.25 MB)
8 Fundamental subspaces.mp4 (74.33 MB)
9 Practical Session.mp4 (86.37 MB)]
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