Naïve Bayes Classifier Explained || Bayes theorem скачать в хорошем качестве

Naïve Bayes Classifier Explained || Bayes theorem

Unlock the power of probabilistic classification with this comprehensive Naïve Bayes tutorial! In this video, we cover: • What is Naïve Bayes and why it’s “naïve” • Bayes’ theorem and the independence assumption • How to estimate class priors and feature likelihoods for purely categorical data • Step-by-step dry run using a “Play Golf” example (Outlook, Temperature, Humidity, Windy) • Calculating unnormalized scores and normalizing to get posteriors • Making predictions and interpreting results • When to use Categorical, Multinomial, Bernoulli, or Gaussian Naïve Bayes Whether you’re new to machine learning or need a refresher, this beginner-friendly guide will help you understand how Naïve Bayes works under the hood and how to implement it on your own datasets.