Naive Bayes: Probabilistic Classification with Independence Assumption
Naive Bayes is a machine learning algorithm that’s primarily used for classification tasks. It makes probabilistic predictions based on the Bayesian theorem, which is a fundamental concept in statistics and probability theory. The uniqueness of the Naive Bayes algorithm is that it makes a strong assumption of feature independence. This means that the existence or…
Read More “Naive Bayes: Probabilistic Classification with Independence Assumption” »