- 01. ML in The Google Self-Driving Car
- 02. Acerous Vs. Non-Acerous
- 03. Supervised Classification Example
- 04. Features and Labels Musical Example
- 05. Features Visualization Quiz
- 06. Classification By Eye
- 07. Intro To Stanley Terrain Classification
- 08. Speed Scatterplot: Grade and Bumpiness
- 09. Speed Scatterplot 2
- 10. Speed Scatterplot 3
- 11. From Scatterplots to Predictions
- 12. From Scatterplots to Predictions 2
- 13. From Scatterplots to Decision Surfaces
- 14. A Good Linear Decision Surface
- 15. Transition to Using Naive Bayes
- 16. NB Decision Boundary in Python
- 17. Getting Started With sklearn
- 18. Gaussian NB Example
- 19. GaussianNB Deployment on Terrain Data
- 20. Calculating NB Accuracy
- 21. Training and Testing Data
- 22. Unpacking NB Using Bayes Rule
- 23. Bayes Rule
- 24. Cancer Test
- 25. Prior and Posterior
- 26. Normalizing 1
- 27. Normalizing 2
- 28. Normalizing 3
- 29. Total Probability
- 30. Bayes Rule Diagram
- 31. Bayes Rule for Classification
- 32. Chris or Sara
- 33. Posterior Probabilities
- 34. Bayesian Probabilities On Your Own
- 35. Why Is Naive Bayes Naive
- 36. Naive Bayes Strengths and Weaknesses
- 37. Congrats on Learning Naive Bayes
- 38. Naive Bayes Mini-Project Video
- 39. Getting Started with Mini-Projects
- 40. Machine Learning for Author ID
- 41. Getting Your Code Set Up
- 42. Author ID Accuracy
- 43. Timing Your NB Classifier