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Course content
- Introduction
- Basic python + Pandas + Plotting
- Machine Learning: Numpy + Scikit Learn
- Machine Learning: Classification + Time Series + Model Diagnostics
- Unsupervised Learning
- Natural Language Processing + Regularization
- Deep Learning
- Deep Learning (TensorFIow) – Convolutional Neural Nets
- Deep Learning: Recurrent Neural Nets
- Deep Learning: PyTorch Introduction
- Deep Learning: Transfer Learning with PyTorch Lightning
- Pixel Level Segmentation (Semantic Segmentation) with PyTorch
- Deep Learning: Transformers and BERT
- Bayesian Learning and probabilistic programming
- Model Deployment
- AWS Sagemaker (for Model Deployment)
- Final Thoughts
