A structured Machine Learning Roadmap designed to guide learners from the fundamentals to advanced concepts.
This roadmap covers programming, mathematics, machine learning algorithms, and deep learning architectures, with a focus on practical application and efficient learning.
Whether you're a beginner starting out with Python or an aspiring data scientist aiming for advanced AI models, this repo helps you:
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Build strong foundations in problem-solving and math
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Master core ML algorithms with progression flow
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Explore deep learning (CNNs, RNNs, Transformers)
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Learn deployment strategies and stay updated with research
β‘ Philosophy: Learn by need, not by FOMO.