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18 USD

ARIMA on Python,in a Google collab environment for data analysis

18 USD

AI & Machine Learning, Python

3 out of 3

closed without completion

publication
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closed without completion

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It is necessary to implement the ARIMA model in Python, in a google collab environment, to train it on the Test_Data file, then to create with the prediction model for the next 28 days and to compare the prediction of the development of the timeline with the data from the Test_Data with errakes file. The differences between the predictions and the data from the file will be considered anomalies and they will need to be remarked, put into the table and marked on the resulting chart.

The result of the work should be a comment code that sets out a schedule where the anomaly points are marked and a table in which these points are included.

Data in time series format.
Every hour we have a point with a certain value.
In my case, a point can take two values, or 0 or 1

The term can be extended.
For payment, we can talk separately after talking about understanding TZ

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Vladimir Ivanov

Kyiv 3

ARIMA on Python,in a Google collab environment for data analysis

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