8 Using probability to its maximum: The naive Bayes model

In this chapter

what is Bayes theorem
dependent and independent events
the prior and posterior probabilities
calculating conditional probabilities based on events
using the naive Bayes model to predict whether an email is spam or ham, based on the words in the email
coding the naive Bayes algorithm in Python

Naive Bayes is an important machine learning model used for classification. The naive Bayes model is a purely probabilistic model, which means the prediction is a number between 0 and 1, indicating the probability that a label is positive. The main component of the naive Bayes model is Bayes’ theorem.

8 Using probability to its maximum: The naive Bayes model

In this chapter

Sick or healthy? A story with Bayes’ theorem as the hero

Use case: Spam-detection model

Building a spam-detection model with real data

Summary

Exercises

8 Using probability to its maximum: The naive Bayes model

In this chapter

Sick or healthy? A story with Bayes’ theorem as the hero

Use case: Spam-detection model

Building a spam-detection model with real data

Summary

Exercises

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