3 - Implementing Logistic Regression for Classification (Python)

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Timestamp 7:45, except of y_hat it should be y. (ŷ -->> y).  Instead of predicted y, it should be the true label y.

The objective of training is to set the parameter vector θ so that the model estimates high probabilities for positive instances (y = 1) and low probabilities for negative instances (y = 0).

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