Apply machine learning techniques to get rid of noisy data
$30-250 USD
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There are two time series and we need to predict one based on the other.
The idea behind it is: the input series is very noisy, whereas the output is smoothen (apparently there is no obvious pattern). This happens for multiple locations, so we need to check which model fits best each location.
We have a preference for Python, but R is fine as well.
项目ID: #17802791
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I did my post grad in data analytics and time series was a major project. According to your description, this problem might require ensembleming using smoothing methods. I still require to see the data first
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