Compute the covariance matrix of our total dataset using equation $(4).$ Save its value as a NumPy array W$.$

Hint

you should use the full dataset X$\_$total here.df $=$ pd$.$read$\_$csv$(\text{'}$Lab$11$data.csv$\text{'},$header$=$None$)$

X$\_$neg$=$df$.$loc$[$df$[100]==0].$drop$($columns$=100).$values.transpose$()$

X$\_$pos$=$df$.$loc$[$df$[100]==1].$drop$($columns$=100).$values.transpose$()$

X$\_$total$=$df$.$loc$[$df$[100]>=0].$drop$($columns$=100).$values.transpose$()$

Alice$=$df$.$loc$[$df$[100]<0].$drop$($columns$=100).$values$[0,$:$]$

Bob$=$df$.$loc$[$df$[100]<0].$drop$($columns$=100).$values$[1,$:$]$