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Applied Linear Algebra for Machine Learning 🚀

This repository explores the essential concepts of Linear Algebra and their applications in Machine Learning.

📚 Topics Covered

  • Vector Operations
  • Matrix Operations & Transformations
  • Eigenvalues and Eigenvectors
  • Singular Value Decomposition (SVD)
  • Principal Component Analysis (PCA)
  • Linear Regression (Normal Equation)

🛠️ Requirements

pip install -r requirements.txt

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Applied Linear Algebra for Machine Learning

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