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

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