I have a huge data set with one of the columns named 'mail_id'. The mail_id is given in a very creepy format as shown below:
mail_id DQ/4I+GIOz2ZoIiK0Lg0AkwnI35XotghgUK/MYc101I= BL3z4RtiyfIDydaRYWX2ZXL6IX10QH1yG5ak1s/8Lls= BL3z4RtiyfIDydaRYWX2ZXL6IX10QH1yG5ak1s/8Lls= EHNBRbi6i9KO6cMHsuDPFjZVp2cY3RH+BiOKwPwzLQs= K0y/NW59TJkYc5y0HUwDeAXrewYT0JQlkcozz0s2V5Q= UGATDXARg7jMEInKH7oXgty2nwxnwD2l0OW/8Nsa0MI= qE9zgWiITYA97RUiN4X/t9IVWLViLz+lKijaYegyBiQ= BL3z4RtiyfIDydaRYWX2ZXL6IX10QH1yG5ak1s/8Lls= 4+EEK8RbNYwuFCHznY9XSRCV4Yek60bHVgnP3jtjjzk=
After doing a lot of analysis on my data, I have found that I cannot drop this feature set from my model so I have to convert it to something meaningful. Can anyone please explain me how to do this efficiently?