Question: Implement the logistic regression algorithm using Gradient Descent in analogy with neural networks for p attributes. The function, which your program should minimize, can be

Implement the logistic regression algorithm using Gradient Descent in analogy with neural networks for p attributes. The function, which your program should minimize, can be the training MSE MSE =1 sum_(i=1 to n) (y_i-p(x_i))^2. Write your program in R . You are not allowed to use any existing implementations of logistic regression or Gradient Descent in R or any other language, and should code logistic regression from rst principles.

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