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Machine learning is a very wide field. Most often it is used for classification or regression tasks when you have labelled data to train the model. For example you show thousands of labeled pictures with an apple and computer "learns" what set of features gives high probability that picture contains an apple (for example, round, red etc). Now in your case ...


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I can't directly answer your question about coding for HAR-RV models, but before you do anything with rolling windows I suggest you look at the paper here. Essentially the paper claims that clustering on time series sequences ( i.e. rolling windows ) is useless, so if your HAR-RV model involves clustering in anyway you'll need to think very carefully about ...



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