Logistic Regression, Generalized Linear Model, Machine Learning, Data Science, Statistical Learning.
probability of the ith observation’s response to be 1 Now, to simplify the likelihood we take logarithm and arrive at the following expression for Log-Likelihood, The Log Likelihood of the data for Logistic Regression Model The above Log-Likelihood function needs to be maximized w.r.t. beta.