RAJNISH SINGH

Posted On: Apr 01, 2020

**Naive Bayes** is a type of classification algorithm used to classify data based on the probabilistic classifiers. It is a collection of classification algorithms that uses Baye’s theorem. This theorem finds the probability of an event occurring given the probability of an already occurred other event.

//Baye’s Theorem mathematical equation P(A/B) = P(B/A) * P(A) / P(B)

Never Miss an Articles from us.

- Common Interview Questions
- Python Flask Interview Questions
- NoSQL Interview Questions
- JQuery Interview Questions
- C programming Interview Questions
- AngularJS Interview Questions
- Node JS Interview Questions with Express
- JavaScript Interview Questions
- Core Java Interview Questions
- HTML Interview Questions
- Laravel Interview Questions
- Wordpress Interview Questions
- PHP Interview Questions

Machine learning is the use of algorithms and data to perform specific tasks. ML is the process of giving the system the ability to learn from data using certain sophisticated algorithms. With the alg...

Supervised and unsupervised are the two types of Machine learning algorithms available. In the supervised type, the algorithms are applied to the known labeled data to formulate a model. Labeled data...

ROC curve is a graphical plot to illustrate the ability of a classifier system. Basically, this curve tells you how much a binary classifier system is capable of distinguishing between classes. This c...