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What's the difference between logistic regression and linear regression?
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The main difference between logistic regression and linear regression is that logistic regression is used for classification problems, while linear regression is used to predict continuous values. Logistic regression uses a logistic (sigmoid) function to make predictions, while linear regression uses a linear function to make predictions. Logistic regression also provides probabilities for each prediction, while linear regression does not.