Slides
43. Slides#
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- 43.1. Python programming introduction
- 43.2. Python programming basics
- 43.3. Python programming advanced
- 43.4. Data Science introduction
- 43.5. Relational vs. non-relational database
- 43.6. NumPy and Pandas
- 43.7. Data visualization
- 43.8. Data Science lifecycle
- 43.9. Data Science in the cloud
- 43.10. Data Science in real world
- 43.11. Machine Learning overview
- 43.12. Linear Regression
- 43.13. Logistic Regression
- 43.14. Logistic Regression
- 43.15. Neural Network
- 43.16. Build an machine learning web application
- 43.17. Unsupervised learning
- 43.18. Kernel method
- 43.19. Model Selection
- 43.20. Convolutional Neural Network
- 43.21. Generative Adversarial Network