Harvard University - Fundamental Linear Algebra Concepts with Python
- Offered byCoursera
Fundamental Linear Algebra Concepts with Python at Coursera Overview
Duration | 11 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course |
Credential | Certificate |
Fundamental Linear Algebra Concepts with Python at Coursera Highlights
- Earn a Certificate upon completion
Fundamental Linear Algebra Concepts with Python at Coursera Course details
- In this course, you'll be introduced to finding inverses and matrix algebra using Python
- You will also practice using row reduction to solve linear equations as well as practice how to define linear transformations
Fundamental Linear Algebra Concepts with Python at Coursera Curriculum
Introduction to finding inverses
Specialization Introduction
Course Introduction
Instrutor Introduction
Review of Linear Equations
Determinants
Find the Determinant of Any Matrix Using Python
Inverse of a 2 x 2 Matrix
Inverses of a 3 x 3 Matrix
Welcome to Fundamentals of Linear Algebra and Data Science Concepts with Python
Finding Determinants
Find the Inverse
Finding Inverses
Introduction to Matrix Algebra with Python
Review of Matrix Arithmetic
Review Matrix Algebra in Python
Using Python to Find the Transpose of a Matrix
Using Python to Find the Inverse of a Matrix
Using Matrix Algebra in Python
Matrix Algebra Functions Using Python
Matrix Algebra Using Python
Solving Systems of Linear Equations
Row Reduction (Infinitely Many Solutions)
Row Reduction (No Solutions)
Finding Inverses of a Higher Dimension Matrices
Solving Systems Using the Inverse
Cramer's Rule
Using Row Reduction to Solve Linear Equations
Using the Inverse and Cramer's Rule
Solving Systems of Linear Equations
Eigenvalues and Eigenvectors
Linear Transformations
Examples of Linear Transformations
Matrix Representations of Transformations
Eigenvalues
Finding Eigenvalues
Eigenspace
Diagonalizable Matrix
Diagonalizable Matrices II
Diagonalization of a Matrix Using Python
Real World Examples
More Real World Examples - PCA Step by Step
Linear Transformations
Diagonalization of a Matrix Using Python
Eigenvalues and Eigenvectors