Logistic Regression in Python

Logistic Regression is used for classification problems in machine learning. It is used to deal with binary classification and multiclass classification. In logistic regression, the target variable/dependent variable should be a discrete value or categorical value. Binary classification problems with two class values like male/female, yes/no, True/False, 0/1, pass/fail. Let's learn about logistic regression for binary classification in this story.