5 Most Common Mistakes Data Scientists Make When Handling Data

Data science blunders that should not be ignored

Case study of Microsoft Tay Bot

1) Missing data annotations and using corrupted data

2) Analyzing without any plans or questions

3) Using identical functions for a variety of issues

4) Not considering a model as a component of a life-cycle

5) Paying little to no attention to communication skills

To conclude

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