Machine Learning & Neural Networks with Python
Build and train neural networks from scratch, then scale to PyTorch, CNNs, Transformers, and fine-tuned LLMs. Includes a production MLOps deployment section.
What You’ll Build
- Neural network from scratch using only NumPy
- CNN image classifier with PyTorch (85%+ accuracy)
- Fine-tuned BERT for sentiment analysis
- Production ML pipeline with MLflow & DVC
- Deployment with FastAPI + Docker + Kubernetes
Includes: 100-page guide + 5 trained model projects + MLOps setup


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