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Programming with Python
Programming with Python
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EPISODES
Summary and Setup
1. Choosing Your First Conventional ML Baseline
2. Building and Improving a Baseline Model
3. Checking What Your Model Learned
4. Feature Engineering for Real Problems
5. The Ethics of machine learning learning
6. Feature Learning and Transfer Learning
7. Neural Networks and Deep Learning
8. Convolutional Neural Networks
9. Transformers
10. Large Language Models
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