Naive Bayes

How Naive Bayes Classifiers Work – with Python Code Examples
Naive Bayes Classifiers (NBC) are simple yet powerful Machine Learning algorithms. They are based on conditional probability and Bayes's Theorem.  In this post, I explain &quot;the trick&quot; behind NBC and I'll give you an example that we can use to solve a classification problem.  In the next sections,
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