•Use python to write the following functions for logistic
regression. You can use common python package, for example,
numpy. You may call the functions defined by you. 2 points
each.
•Sigmoid (z) – z is an input vector of real numbers.
•Predict (features, weights) – features is a vector of real
numbers and weight is a matrix of real numbers. The function
should return 1D array of probabilities that the class label ==
1
•Cost_function(features, labels, weights)
•Use python to write the following functions for logistic regression. You can use common python package, for example, n
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