Grokking Machine Learning

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 ...