I was trying to implement logistic regression without using bias as it is shown in the video but i am not able to do it.
here is link to my code https://github.com/shahianshu/Machine-learning-Algorithms/blob/master/Logistic%20Regression/Logistic%20Regression.ipynb 1
i am taking theta instead of w and making 3rd column of data matrix as 1 to represent the bias or theta0 value.
please tell me where i am doing wrong ?
Hello @anshushahi98,
Inside the for loop, you are passing the previously initialized theta again and again, you should pass the updated theta in each iteration.
Like this:
l, theta = grad_asscent(y_train, x_train, theta, learning_rate = 0.1)
loss.append(l)
Happy Learning 
Thanks
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