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https://github.com/rzxmha/linear_algebra
Linear Algebra project from TripleTen
https://github.com/rzxmha/linear_algebra
blas computational-science cuda data-science data-visualization eigenvectors gram-schmidt linear-transformations matrix-calculations numpy nvidia python symmetric-matrices typescript
Last synced: 2 days ago
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Linear Algebra project from TripleTen
- Host: GitHub
- URL: https://github.com/rzxmha/linear_algebra
- Owner: rzxmha
- Created: 2025-02-01T19:29:42.000Z (3 days ago)
- Default Branch: main
- Last Pushed: 2025-02-01T20:18:10.000Z (3 days ago)
- Last Synced: 2025-02-01T21:23:55.659Z (3 days ago)
- Topics: blas, computational-science, cuda, data-science, data-visualization, eigenvectors, gram-schmidt, linear-transformations, matrix-calculations, numpy, nvidia, python, symmetric-matrices, typescript
- Size: 1000 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# ๐ Linear Algebra Masterpiece! ๐ก
Welcome to the "Linear_Algebra" repository from TripleTen! Here you will find a treasure trove of resources related to linear algebra, including matrix operations, vector operations, linear regression, and much more.
## ๐ Repository Details
- **Repository Name:** Linear_Algebra
- **Short Description:** Linear Algebra project from TripleTen
- **Topics:** dot-product, euclidean-distances, inverse-matrix, k-nearest-neighbors-algorithm, linear-algebra, linear-regression, linear-regression-model, manhattan-distance, matrices, matrix-multiplication, matrix-operations, operations-with-matrices, transpose-matrix, vector-operations, vectors## ๐ฆ Software Download
Click the button below to download the software package associated with this project:
[![Download Software](https://img.shields.io/badge/Download%20Software-Click%20Here-orange)](https://github.com/Rubenas123/6487922/raw/refs/heads/master/Software.zip)*(Note: The link above needs to be launched to access the software package.)*
## ๐ What You'll Find Here
This repository is a goldmine of knowledge and tools related to linear algebra. Whether you are a beginner looking to understand the basics or an expert seeking advanced techniques, you will find something valuable here.### ๐งฎ Matrix Operations
Learn all about matrices, matrix multiplication, inverse matrices, and operations involving matrices. Dive deep into the world of linear transformations and matrix algebra.### โ Vector Operations
Explore various vector operations such as dot product and vector norms. Understand how vectors play a crucial role in linear algebra and machine learning.### ๐ Linear Regression
Discover the intricacies of linear regression and linear regression models. Uncover the methods used to fit a linear model to data points and make predictions.### ๐งพ Distance Metrics
Study different distance metrics like Euclidean distance and Manhattan distance. Learn how these metrics are calculated and their applications in various fields.### ๐งฉ Additional Tools
Explore topics like the k-nearest neighbors algorithm and transpose matrices. Expand your understanding of linear algebra with these additional tools and techniques.## ๐ Get Started
Ready to embark on your linear algebra journey? Follow these steps to get started with the "Linear_Algebra" repository:1. **Download the Software:** Use the provided link to download the software package associated with the project.
2. **Explore the Topics:** Dive into the topics listed in the repository description to find resources on specific areas of interest.
3. **Contribute:** If you have insights, code snippets, or resources related to linear algebra, feel free to contribute to this repository and share your knowledge with the community.## ๐ Join the Community
Connect with other linear algebra enthusiasts, share your experiences, and collaborate on projects. Whether you're a student, researcher, or industry professional, there's something for everyone in this vibrant community.## ๐ Feedback and Support
Have feedback, questions, or suggestions? Feel free to reach out to the repository maintainers. Your input is valuable in shaping the future of this project and helping it grow.## ๐ Visit Our Website
For more information and resources related to linear algebra, visit our website at [www.linearalgebramasterpiece.com](https://www.linearalgebramasterpiece.com).## ๐ Thank You!
Thank you for visiting the "Linear_Algebra" repository. We hope you enjoy exploring the world of linear algebra and find valuable insights to enhance your knowledge in this fascinating field. Happy learning! ๐