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Discussion on: What harmful habits do datascientists pick up over time?

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mrsaeeddev profile image
Saeed Ahmad

In my opinion:

  • Building strong opinions about certain models
  • Not exploring data enough
  • forcing the data to "cry" i.e forcefully obtaining results that you want from data
  • relying too much on some libraries
  • thinking that every problem is a 'data-science' problem
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waylonwalker profile image
Waylon Walker

forcing the data to "cry" i.e forcefully obtaining results that you want from data

This one is so tough. I get it all the time. "Well can't you look again. Try this very forceful twist on it.". It can be a tough fight.

If there's no correlation don't make one, and don't let leadership force you into thinking there is one.

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dhaitz profile image
Dominik Haitz

"If you torture the data long enough it will confess"

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waylonwalker profile image
Waylon Walker

Not exploring data enough

Getting familiarity with data takes time. Leverage experts of the business as much as possible. Get datasets small enough that they are digestable by tools the business experts are familiar with.