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Time series are data observed over time (either in continuous time or at discrete time periods).
2
votes
1
answer
535
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Forecasting using Boosting methods on Non-stationary Time Series data
Theoretical Noob question -
Can we use boosting methods to effectively forecast the future after being trained on a non-stationary time series? Or do you train/fit on the residual of the training set …
2
votes
2
answers
5k
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Find periodicity of a signal using python
I have a dataset that contains occurrences of the Kettle in a single-occupancy house for the duration of a month. In this dataset, ‘ts’ column indicates the unix-timestamp (this can be converted to da …
1
vote
1
answer
185
views
Labelling a Time series dataset
I was asked this during an interview that I did not crack.
You are given data of total (aggregated) power consumption, and the TV power consumption of three households. Each household has data for one …