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Given a decently-sized dataset, what's the first step to start making predictions on it?


So i got a database with 550k historical events in it. For each event, I have a list of possible outcomes, and the actual result.

I want to use that to make some predictions about future events.

I have a general idea of how training works (theoretical), but I am completely new to the field.

Where do I start?


Solution

  • You chose hard problem to start with. I would start from NLP or Tabular models and going deep into it.