Logistic regression is a very popular machine learning algorithm that is primarily used for binary classification tasks. It is a model that applies the logistic (or sigmoid) function to a linear combination of input features to produce a probability estimate for class membership. With its simplicity and interpretability, logistic regression has found widespread applications in various domains, including healthcare, marketing, finance, and social sciences. In this article, we