Nvidia Interview Question | Naive Bayes Classifier
Question
How can we use the Naive Bayes classifier for categorical features? What if some features are numerical?
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Answer ( 1 )
Naive Bayes is a type of supervised learning algorithm which comes under the Bayesian Classification It uses probability for doing its predictive analysis .
The categorical Naive Bayes classifier is suitable for classification with discrete features that are categorically distributed. The categories of each feature are drawn from a categorical distribution.
For numerical columns, we can use Mean , Standard Deviation and Normal Distribution formula for calculating Likelihood