Interview Q&A / Machine Learning
Machine Learning interview questions
Supervised vs unsupervised learning, overfitting, metrics and the classic models, explained simply.
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- What is the difference between Gaussian, Multinomial and Bernoulli Naive Bayes?
Gaussian NB assumes each feature is normally distributed within a class, so it suits continuous values. Multinomial NB models word counts. Bernoulli NB models binary present/absent features.
IntermediateQuick answer1 min read