Does having categorical dependent variables along with categorical independent variables in the dataframe make any difference in finding the correlation between independent variables?

machine_learning
random_forest
data_science
python
jupyter_notebook

#1

Have 7 categorical independent variables and 3 dependent binary variables. Tried Pearson’s coefficient but later realized that it is for the case of continuous variables. Tried chi-square but later realised that the contingency table must have non-zero frequency cells. Tried Fisher’s too.