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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 views

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 …
a_jelly_fish's user avatar
2 votes
2 answers
5k views

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 …
a_jelly_fish's user avatar
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 …
a_jelly_fish's user avatar