{
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{
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"--- \n",
" \n",
"\n",
"
\n", " | rollno | \n", "name | \n", "address | \n", "gender | \n", "group | \n", "session | \n", "age | \n", "scholarship | \n", "machine_learning | \n", "data_science | \n", "big_data | \n", "
---|---|---|---|---|---|---|---|---|---|---|---|
0 | \n", "MS01 | \n", "SAADIA | \n", "Lahore | \n", "female | \n", "group B | \n", "MORNING | \n", "28 | \n", "2562 | \n", "33 | \n", "81 | \n", "74 | \n", "
1 | \n", "MS02 | \n", "JUMAIMA | \n", "Islamabad | \n", "female | \n", "group C | \n", "AFTERNOON | \n", "33 | \n", "2800 | \n", "27 | \n", "90 | \n", "88 | \n", "
2 | \n", "MS03 | \n", "ARIFA | \n", "Karachi | \n", "female | \n", "group A | \n", "EVENING | \n", "34 | \n", "3500 | \n", "24 | \n", "95 | \n", "93 | \n", "
3 | \n", "MS04 | \n", "SAADIA | \n", "Lahore | \n", "female | \n", "group A | \n", "MOR | \n", "44 | \n", "2000 | \n", "37 | \n", "57 | \n", "44 | \n", "
4 | \n", "MS05 | \n", "DANISH | \n", "Peshawer | \n", "male | \n", "group C | \n", "AFTERNOON | \n", "54 | \n", "2100 | \n", "39 | \n", "78 | \n", "55 | \n", "