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Which regression algorithm to use when there is weak correlation between target and numerical variables?

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@rohit.haritash wrote:

I have a regression problem in hand. Dataset have 20 predictors and 1 target. Target is continuous and predictors are both categorical and continous. I performed a correlation test between continous predictors and target and found very week to negligible linear relation.

Here Absenteeism.in.hours is my target. My question is

  1. how should i approach this kind of data.
  2. What can be an appropriate machine learning technique for regression in this case.

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