ML Hub (Ram-466)

Central index for my Machine Learning Engineer journey: roadmap, notes, and projects.

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Roadmap

• ml-roadmap: https://github.com/Ram-466/ml-roadmap

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Notes

• Python: https://github.com/Ram-466/ml-notes-python
• Math & Stats: https://github.com/Ram-466/ml-notes-math-stats
• Data (NumPy/Pandas/EDA): https://github.com/Ram-466/ml-notes-data
• Machine Learning: https://github.com/Ram-466/ml-notes-ml
• Deep Learning (PyTorch): https://github.com/Ram-466/ml-notes-deep-learning
• NLP: https://github.com/Ram-466/ml-notes-nlp
• MLOps: https://github.com/Ram-466/ml-notes-mlops

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Projects

• Project Template: https://github.com/Ram-466/ml-template-project

Classic ML

• (add links)

NLP

• (add links)

Computer Vision

• (add links)

Deployment / MLOps

• (add links)

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Progress (quick)

• Python foundations
• Core ML + evaluation
• Deep Learning (PyTorch)
• NLP (Transformers)
• MLOps (Docker + CI/CD)
• 4–6 strong portfolio projects