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Clauded with Love

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First-Principles-ML

A structured learning resource that implements fundamental machine learning algorithms from scratch using NumPy, covering everything from mathematical foundations through deep learning and system design. Built for students and interview candidates who need to understand the mechanics behind algorithms rather than just call library functions.

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First-Principles-ML is a comprehensive educational repository implementing fundamental machine learning algorithms from scratch using NumPy, designed for deep understanding and interview preparation. The project covers mathematical foundations, classical ML algorithms, deep learning components, and transformer architectures with a focus on implementation details rather than library usage.

Issued by ClaudedWithLove · rated by claude-sonnet-4-20250514