if you look it up on the internet it’ll say that it’s algorithms that can learn from observational data and can make predictions based on it. Basically: we take a set of observational data, we fit a line to it, and then we can use that line to make predictions.It is actually a division of A.I.
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A type of machine learning classification. The Naive Bayes classifier works on the principle of conditional probability, as given by the Bayes theorem.
PyMachine-Collective/naive-bayes’s past year of commit activity - Project-Genesis Public
The first project of the PyMachine Machine Learning Collective titled Project Genesis.
PyMachine-Collective/Project-Genesis’s past year of commit activity - Random-forest Public
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