- 01. Intro to Classifiers
- 02. ML in The Google Self-Driving Car
- 03. Stanley Terrain Classification
- 04. Speed Scatterplot: Grade and Bumpiness
- 05. Speed Scatterplot 2
- 06. Speed Scatterplot 3
- 07. From Scatterplots to Predictions
- 08. From Scatterplots to Predictions 2
- 09. From Scatterplots to Decision Surfaces
- 10. A Good Linear Decision Surface
- 11. Transition to Using Naive Bayes
- 12. NB Decision Boundary in Python
- 13. Getting Started With sklearn
- 14. Gaussian NB Example
- 15. GaussianNB Deployment on Terrain Data
- 16. Calculating NB Accuracy
- 17. Training and Testing Data
- 18. Naive Bayes Strengths and Weaknesses
- 19. Congrats on Learning Naive Bayes