How to implement Gradient Descent in Python

We will try to build a single neuron network, which can predict the admissions of a graduate school. The data we will use is shared above in google drive. The first 5 rows of data are shown below. The first column admit indicates whether the student is getting admitted to the school or not, this will be the target for our model; the second column gre and the third column gpa are numerical features for the student; the fourth column rank is a categorical feature. We will apply one-hot encoding to the categorical feature to add dummy columns.