ML Study Recommended Resources
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Courses:
- Andrew Ng’s ML Course (Coursera) (theory-focused)
- fast.ai (practical, top-down approach)
- Google’s ML Crash Course (free & hands-on)
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Books:
- Hands-On Machine Learning (Aurélien Géron) – Best for coders!
- Python Machine Learning (Sebastian Raschka)
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Practice:
- Kaggle
- Hugging Face (for NLP)
