Naive Bayes Classifier Tutorial - Examples Using the Naive Bayes Classifier Algorithm
Channel:
Subscribers:
58,000
Published on ● Video Link: https://www.youtube.com/watch?v=E24Wxj7UmaA
11Learn more advanced front-end and full-stack development at: https://www.fullstackacademy.com
In Machine Learning, Naive Bayes Classifiers are a set of probabilistic classifiers that apply Bayes' theorem with strong (naive) independence assumptions between the features in a class. In this Naive Bayes Classifier Tutorial, we go over an example using the Naive Bayes text classification algorithm to guess what language a particular document is written in.
Watch this video to learn:
- Bayes' Theorem and how it is used in the text classification algorithm
- The logic behind the text classification algorithm
- Examples of actual tests using the text classification algorithm
Other Videos By Fullstack Academy
Tags:
Naive Bayes Classifier
Naive Bayes Classifier Algorithm
Naive Bayes Classifier Tutorial
Bayes' Theorem
text classification