{"id":23576126,"url":"https://github.com/zeeshier/linear-algebra","last_synced_at":"2025-05-16T13:11:05.951Z","repository":{"id":269083852,"uuid":"900410684","full_name":"Zeeshier/Linear-Algebra","owner":"Zeeshier","description":"Linear Algebra for Machine Learning \u0026 Data Science","archived":false,"fork":false,"pushed_at":"2025-02-17T11:43:02.000Z","size":1917,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-17T12:32:56.379Z","etag":null,"topics":["data-science","linear-algebra","machine-learning","math","mathematics"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Zeeshier.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-12-08T17:51:07.000Z","updated_at":"2025-02-17T11:48:19.000Z","dependencies_parsed_at":"2025-01-07T17:59:45.643Z","dependency_job_id":"156d1ad8-19ce-487b-ada8-6aa037a82438","html_url":"https://github.com/Zeeshier/Linear-Algebra","commit_stats":{"total_commits":12,"total_committers":1,"mean_commits":12.0,"dds":0.0,"last_synced_commit":"1f9e282d9fc0cdde587648f0ff240840338dbbfa"},"previous_names":["zeeshier/linear-algebra"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Zeeshier%2FLinear-Algebra","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Zeeshier%2FLinear-Algebra/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Zeeshier%2FLinear-Algebra/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Zeeshier%2FLinear-Algebra/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Zeeshier","download_url":"https://codeload.github.com/Zeeshier/Linear-Algebra/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254535822,"owners_count":22087399,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-science","linear-algebra","machine-learning","math","mathematics"],"created_at":"2024-12-26T21:12:47.361Z","updated_at":"2025-05-16T13:11:05.935Z","avatar_url":"https://github.com/Zeeshier.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# **Linear Algebra for Machine Learning and Data Science**\n\nWelcome to the **Linear Algebra** repository! This collection of Jupyter Notebooks is designed to provide a comprehensive understanding of various linear algebra concepts and techniques, all implemented in Python. Whether you're a beginner or looking to deepen your knowledge, this repository serves as a hands-on guide.\n\n## **Table of Contents**\n\n1. [Systems of Equations](01.%20Systems%20of%20Equations)\n2. [Row Echelon Form and Rank](02.%20Row%20Echelon%20Form%20and%20Rank)\n3. [Gaussian Elimination](03.%20Guassian%20Elimination)\n4. [Vector Operations](04.%20Vector%20Operations)\n5. [Linear Transformations](05.%20Linear%20Transformations)\n6. [Eigenvalues and Eigenvectors](06.%20Eigenvalues%20and%20Eigenvectors)\n\n---\n\n## **Description**\n\nThis repository contains a series of Jupyter Notebooks, each focusing on a specific topic within linear algebra. The topics covered include:\n\n- **Systems of Equations**: Methods to solve linear systems.\n- **Row Echelon Form and Rank**: Techniques to simplify matrices and determine their rank.\n- **Gaussian Elimination**: Step-by-step process to solve systems of linear equations.\n- **Vector Operations**: Fundamental operations involving vectors.\n- **Linear Transformations**: Understanding mappings between vector spaces.\n- **Eigenvalues and Eigenvectors**: Concepts and computations related to eigenvalues and eigenvectors.\n\n---\n\n## **Getting Started**\n\nTo explore the notebooks:\n\n1. **Clone the repository**:\n   ```bash\n   git clone https://github.com/Zeeshier/Linear-Algebra.git\n   cd Linear-Algebra\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzeeshier%2Flinear-algebra","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzeeshier%2Flinear-algebra","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzeeshier%2Flinear-algebra/lists"}