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Areas Served: AI Anyone Can Understand: Part 10 — Naive Bayes
Author(s): Andrew Austin Originally published on Towards AI. Spam Detection This member-only story is on us. Upgrade to access all of Medium. Naive Bayes is a way for computers to learn how to make predictions based on data. Imagine you are trying …
Simple, Good Sentiment Classification
Author(s): Pratish Originally published on Towards AI. Sentiment classification using MultinomialNB This member-only story is on us. Upgrade to access all of Medium. Photo by Tanner Boriack on Unsplash In this article, I am taking one of the state-of-the-art papers[1] which takes …
Naive Bayes Classifiers
Author(s): Bindhu Balu Originally published on Towards AI. This article discusses the theory behind the Naive Bayes classifiers and their implementation. Naive Bayes classifiers are a collection of classification algorithms based on Bayes’ Theorem. It is not a single algorithm, but a …
Step 4: Logistic regression
Author(s): Rashmi Margani Originally published on Towards AI. Blending NB And SVM U+007C Towards AI Naive Bayes(NB)-Support Vector Machine(SVM): Art Of State Result Hands-On Guide using Fast.ai SVM with NB feature: State of art performance model variance Before getting into Model variant …
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