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