Naive Bayes
Orçamento $10-30 USD
Job Description:
Overview
• Multinomial Naive Bayes (MultinomialNB).
– The multinomial Naive Bayes classifier is suitable for classification with discrete features
(e.g., word counts for text classification).
– The multinomial distribution normally requires integer feature counts. However, in
practice, fractional counts such as tf-idf may also work.
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• Gaussian Naive Bayes (GaussianNB).
– Gaussian Naive Bayes supports continuous valued features and models each as conform-
ing to a Gaussian (normal) distribution.
– An approach to create a simple model is to assume that the data is described by a Gaus-
sian distribution with no co-variance (independent dimensions) between dimensions.
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Hi, I am artificial intelligence engineer with more 8 years of experience in Data Science & Machine/Deep Learning. I have accomplished projects like yours. Feel free to contact me for further details. Thank you
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