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What methods to use for simple weather prediction?
I want to implement a simple algorithm to predict weather from previous temperature, pressure, wind. I was under the impression that most machine learning algorithms (SVM, linear regression, etc.) are designed to solve classification problems. Apparently, neural networks cope with the predict task. What other methods are worth paying attention to? Accuracy comparable to commercial counterparts is not required - a learning task.
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Here are examples of linear, polynomial and curvilinear regressions.
And in general, the site is useful, if suddenly you have not been there yet :)
For study, you can take linear regression. She just predicts (rates logistic).
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