Good habits of a data scientists

Data Science, AI and ML
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#1

Do’s:

  • Constantly learn on the fly
  • Practice problem solving
  • Practice good communication skill
  • Be familiar with version control tools such as git

Don’ts:

  • Let learning be the hurdle from trying something out
  • Don’t shy out from reaching out to other data scientists
  • Over complicating the modeling approach while neglecting some common sense steps (for e.g. trying out all the possible ensemble techniques and boosting the model may not magically improve the score. If it does, it might just be an overfitting case. Data cleaning might be something missed out)