Linear-Algebra-With-Python
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
파일 탐색기
최종 버전 다운로드 (.zip)- convert-to-qmd.yml
- update-readme.yml
- index.json
- index.qmd.json
- a34f77ad
- INDEX
- Chapter 1 - Linear Equation System.ipynb
- Chapter 10 -Null Space vs Col Space, Row Space and Rank.ipynb
- Chapter 11 - Linear Transformation.ipynb
- Chapter 12 - Eigenvalues and Eigenvectors.ipynb
- Chapter 13a - Diagonalization.ipynb
- Chapter 13b - Principal Component Analysis.ipynb
- Chapter 14 - Applications to Dynamic System.ipynb
- Chapter 15 - Innear Product and Orthogonality.ipynb
- Chapter 16 - Gram-Schmidt Process and QR Decomposition.ipynb
- Chapter 17 - Symmetric Matrices , Quadratic Form and Cholesky Decomposition.ipynb
- Chapter 18 - The Singular Value Decomposition.ipynb
- Chapter 19 - Multivariate Normal Distribution.ipynb
- Chapter 2 - Basic Matrix Algebra.ipynb
- Chapter 3 - Determinant.ipynb
- Chapter 4 - LU Factorization.ipynb
- Chapter 5 - Vector Addition, Subtraction and Scalar Multiplication.ipynb
- Chapter 6 - Linear Combination.ipynb
- Chapter 7 - Linear Independence.ipynb
- Chapter 8 - Vector Space and Subspace.ipynb
- Chapter 9 - Basis and Dimension.ipynb
- linear_algebra_visulization.py
- link_to_mysite.py
- update_readme.py
- __init__.py
- cover-min.png
- index.html
- LICENSE
- poetry.lock
- pyproject.toml
- README.md
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/weijie-chen/Linear-Algebra-With-Python
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd Linear-Algebra-With-Python
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
// repository documentation
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