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Pawel Sarkowicz
2026-01-29 21:30:46 -05:00
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A not-so comprehensive guide bridging linear algebra theory with practical data science implementation. A not-so comprehensive guide bridging linear algebra theory with practical data science implementation. Meant for someone to learn data science by using their strong linear algebra background.
## Project Overview ## Project Overview
This project demonstrates how fundamental linear algebra concepts power modern machine learning algorithms, with hands-on Python implementations. This project demonstrates how fundamental linear algebra concepts power modern machine learning algorithms, with hands-on Python implementations.
## Dependencies ## Main Dependencies
- **Python 3** - **Python 3**
- **NumPy** - Matrix operations and linear algebra - **NumPy** - Matrix operations and linear algebra
- **Pandas** - Data manipulation - **Pandas** - Data manipulation
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## To do ## To do
- [ ] Upload Jupyter notebook - [ ] Upload Jupyter notebook
--- ## Contact
Pawel Sarkowicz
💼 <a href="https://www.linkedin.com/in/pawel-sarkowicz-668221390/">LinkedIn</a>
🌐 <a href="https://pawelsarkowicz.xyz">website</a>
💻 <a href="https://git.pawelsarkowicz.xyz/ps">git</a>
📧 <a href="mailto:ps@pawelsarkowicz.xyz">email</a>
January 2026 January 2026