We regularly hear — “Ohh, there are packages accessible to do every thing! It takes solely 10 minutes to run the fashions utilizing the packages.” Sure, agreed there are packages — however they work solely you probably have a clear dataset able to go along with it. And the way lengthy does it take to create, curate, and clear a dataset from a number of sources that’s match for function? Ask an information scientist who’s struggling to create one. All those that needed to spend hours cleansing the information, researching, studying and re-writing codes, failing and re-writing once more will agree with me! This brings us to the purpose:
‘Actual-life knowledge science is 70% knowledge cleansing and 30% precise modeling or evaluation’
Therefore, I believed, let’s return to fundamentals for a bit and find out about learn how to clear datasets and make them usable for fixing enterprise issues extra effectively. We’ll begin this collection with lacking values remedy. Right here is the agenda:
- What are lacking values
- What are the causes of lacking values in a dataset
- Why are lacking values vital
- Strategy to cope with lacking values
