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Optimization and extension of my time series project

Hello

For my project I still need several useful and (and at best modern) visualizations of my univariate time series (+ documentation why which parameters etc. were used, so that it is understandable).

However, I was told that this would not make sense for this time series (apart from a normal plot) due to the nature.

The models, etc. are already there and don't need to be done.

Data preprocessing is also still missing if necessary please make, but does not seem to be necessary

Documentation of what else can be seen from the visualizations (rolling mean, STD, decompensation, etc.) is also good.

For the SARIMAX model, I would still need documentation regarding the seasonal parameters (e.g. why were the parameters seasonal_order=() set as they were).

For the code of the GridSearches I would need an explanation why the parameters were used (param_grid = {PARAMS} & gridcv = (PARAMS))

A further small task is requiered, but lets talk about it using a private message.

All in one not much more to do.

Can you get it all done and what would your price be? I need the work by Friday / Saturday at the latest. Better sooner as it won't take long.

Greetings

Habilidades: Python, Ciência de Dados

Sobre o Cliente:
( 0 comentários ) Ballendorf, Germany

ID do Projeto: #33771337

16 freelancers estão ofertando em média €168 nesse trabalho

(13 Comentários)
6.3
loyidandrews

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6.7
datascientist90

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4.5
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rn00177

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