Mle, Machine Learning Models, Maximum Likelihood, Logistic Regression, Practical Mle.
parameters that minimize the negative log-likelihood as follows: # Use MLE to estimate logistic regression parameters initial_theta = np.zeros(X_train.shape[1] + 1) # Initial guess for coefficients (including intercept) X_train_with_intercept = np.c_[np.ones(X_train.shape[0]), X_train] # Add