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Predicting time to event based on historic data in python

I Have ATM cash reloading data which has the ATMID and the time at which the cash reloading was done. Now, Based of the past few Timestamps for a particular ATMID, can we predict the next time the reloading activity will be done?

The Sample Data:

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I know Extrapolation can be used to achieve this, but is there a more efficient method which could capture the pattern and predict the next activity time?

您当然可以从这些数据中进行预测,但准确度不会太高,以获得最佳准确度,您需要更多数据来训练模型。

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