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Machine Learning Fundamentals

Build intuition for how machines learn. Interactive visuals, no coding required.

Vectors Matrices Probability Classification

Deep Learning & Modern AI

From neural networks to LLMs. Embeddings, attention, transformers, and production systems.

Embeddings Attention RAG Agents

Building ML Systems

Hands-on Python implementation. From data preparation to deployed models.

NumPy Pandas Feature Engineering Algorithms
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