Machine Learning Tutorial 13 - Imputation

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  1. Caleb Curry
  2. machine learning
  3. predictive analytics
  4. machine learning and predictive analytics
  5. imputation
  6. nulls
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Комментарии
Автор

I am actually enjoying your teaching technique :) great work

MrDashingAshish
Автор

Hello caleb, could you make videos on rapidminer too?

neffship
Автор

Great job! Cut through the BS and tell it exactly like it needs to be told.
I'm going to embed your videos for my class on Data Mining!

JoeyIngles
Автор

it's just biaised to do that and the analysis will be false. The only way to treat missing data seriously is to use "multiple imputation" because your data is Missing At Random (MAR) and not (MCAR)

adrienc
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