Course Content

  • Naive_Bayes_Classifier

Course Content


The Benefits of Using a Naive Bayes Classifier:

  • It is capable of dealing with both continuous and discrete data. It can handle a large number of predictors and data points. It is quick and can be used to make predictions in real time. It is unaffected by non-essential characteristics.

The generative model Naive Bayes is. (Gaussian) Each class in Naive Bayes is assumed to have a Gaussian distribution. The distinction between QDA and (Gaussian) Naive Bayes is that Naive Bayes assumes feature independence, resulting in diagonal covariance matrices.

Recommended Courses

Share With Friend

Have a friend to whom you would want to share this course?

Download LearnVern App

App Preview Image
App QR Code Image
Code Scan or Download the app
Google Play Store
Apple App Store
598K+ Downloads
App Download Section Circle 1
4.57 Avg. Ratings
App Download Section Circle 2
15K+ Reviews
App Download Section Circle 3
  • Learn anywhere on the go
  • Get regular updates about your enrolled or new courses
  • Share content with your friends
  • Evaluate your progress through practice tests
  • No internet connection needed
  • Enroll for the webinar and join at the time of the webinar from anywhere