Spam Classifier with Naive Bayes

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01. Intro
02. Guess the Person
03. Known and Inferred
04. Guess the Person Now
05. Bayes Theorem
06. Quiz: False Positives
07. Solution: False Positives
08. Bayesian Learning 1
09. Bayesian Learning 2
10. Bayesian Learning 3
11. Naive Bayes Algorithm 1
12. Naive Bayes Algorithm 2
13. Building a Spam Classifier
14. Project
15. Spam Classifier - Workspace
16. Outro

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11. Naive Bayes Algorithm 1

MLND SL NB Naive Bayes Algorithm

spam quiz

What are the correct probabilities for spam and ham?
In other words, what are two numbers that add to 1, and are in proportion to 1/12 and 1/40?

11/12 and 1/12

12/52 and 40/52

1/12 and 1/40

10/13 and 3/13

SOLUTION:

10/13 and 3/13

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