Mle, Machine Learning Models, Maximum Likelihood, Logistic Regression, Practical Mle.
intercept term. Note that we only have one feature here, so the length of the initital_theta vector will be 2. Line 5: We minimize the negative log-likelihood function using the minimize function. Line 6: We store the estimated values of theta in the estimated_theta variable. Line 11: We use the