Naive Bayes Algorithm
Case Study: Naive Bayes in Email Spam Filtering
To demonstrate the practical application of Naive Bayes, let’s take a look at its usage in email spam filtering.
Preprocessing the email data
Before training the Naive Bayes classifier, we need to preprocess the email data. This involves removing stop words, stemming words, and converting the text into numerical features for the algorithm to work with.
