Central index for my Machine Learning Engineer journey: roadmap, notes, and projects.
- ml-roadmap: https://github.com/Ram-466/ml-roadmap
- 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
- Project Template: https://github.com/Ram-466/ml-template-project
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- Python foundations
- Core ML + evaluation
- Deep Learning (PyTorch)
- NLP (Transformers)
- MLOps (Docker + CI/CD)
- 4–6 strong portfolio projects