Working on Data is always interesting as you get to know the things that you might have never thought of. But it can also get very confusing and hefty if you are not organized. So to avoid this it is better to have a plan or checklist. It is always good to have a checklist as you might skip some important steps that you planned to do. This majorly happens when you are new to the field or having a big project with many tasks. It is advised to create a checklist yourself that should work reasonably well for most Data Science projects. And make changes with time whenever needed.

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Ultimate Checklist for a Data Science Project
6.15 GEEK