Logistic Regression, Stochastic Gradient, Regularization.
about your data before passing it through a Logistic Regression model like handling multicollinearity, ensuring data is balanced (1’s and 0’s are roughly equal), and scaling your data. We will go over each of these cases in detail in an upcoming post where I will walk you through toy examples to