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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Project-Genesis
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naive-bayes
naive-bayes PublicA type of machine learning classification. The Naive Bayes classifier works on the principle of conditional probability, as given by the Bayes theorem.
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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
A type of machine learning classification.Random forest is the advanced version of decision tree. It combines/ensembles numbers of decision trees for prediction, instead of just one.
PyMachine-Collective/Random-forest’s past year of commit activity - Decision-tree-classifier Public
A type of machine learning classification. A decision tree is a tree-based supervised learning method used to predict the output of a target variable.
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An Artificial Intelligence Rap Bot.Using Machine learning algorithms and Word Processing Python Script, this bot will generate raps that will get better with user inputs.
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