explain to prove your answer.

Which ones of the following statements about logistic regression are TRUE? The cost function J(\ theta) is always greater than or equal to 0 The minimum point of the cost function is where it has 0 value. In gradient descent for logistic regression, we need to update the parameters simultaneously. Given a model trained, we cannot make predictions without using Sigmoid function