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I'm quite new to machine learning and statistics.

I've a dataset from some ecommerce sale's history. It's almost 2k instances, and features include personId (string), productCategory (string/discrete), amountPaid (float/continuous), purchaseTime (string/Time(DD/MM/YYYY)). Person can purchase product at any time (irregular time interval so I can't use time series analysis, I guess).

I want to know when will the same person (attr with person Id) make just next purchase in a category (attr with productCategory). What ML model should I use for this problem? Should I use Time Series forcasting or Survival Analysis or maybe some other function? How should I approach this problem?

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Survival Analysis would be a common way to approach it. One way to model it would be to predict time-to-purchase where the prior is already purchased.

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