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K-Means divides data into K groups based on similarity.
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Each question leads to another until you reach an answer leaf.
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A forest averages results from several decision trees to get reliable answers.
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Finds relationships between variables with a straight-line equation.
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Turns probabilities into categories like true or false.
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SVMs find boundaries that best separate different classes.
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Looks at closest neighbors to guess what new data belongs to.
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Based on math that calculates chances from past data.
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Regression predicts continuous values, like temperature or price.