Skill

Classify Data with the Naive Bayes Algorithm

with Jonathan Barrios

Join Jonathan Barrios as we learn to leverage semi-supervised and heuristic techniques for image-processing models.

Skill Outline

1. Introduction (4:57)
2. Bayes' Theorem (8:59)
3. Naive Bayes: The "Naive" Part (5:23)
4. Naive Bayes: Iris Dataset (0:01)
5. Naive Bayes: On the Iris Dataset (9:21)
6. Naive Bayes: On the Titanic Dataset (6:28)
7. Naive Bayes: Generative Vs. Discriminative (0:01)
8. Naive Bayes: Zero Frequency Problem (7:05)
9. Identify When Zero Frequency Might Be a Problem (0:02)
10. Handling Continuous, High-Dimensional, and Missing Data (4:43)
11. CHALLENGE 🎉 (1:05)

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