31 in-depth guides to learn Machine Learning from scratch to hired, sequenced backwards from 2026 job-market data. Covers foundations, core ML, deep learning, GenAI/LLMs, agents, and MLOps, with runnable, test-verified code and a cited market roadmap.
What is the NiravRVaghasiya/ml-curriculum-2026 GitHub project? Description: "31 in-depth guides to learn Machine Learning from scratch to hired, sequenced backwards from 2026 job-market data. Covers foundations, core ML, deep learning, GenAI/LLMs, agents, and MLOps, with runnable, test-verified code and a cited market roadmap.". Written in HTML. Explain what it does, its main use cases, key features, and who would benefit from using it.
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