In machine studying, classification duties are in all places spam detection, medical analysis, credit score scoring, churn prediction, and extra. Among the many foundational algorithms for classification, Logistic Regression holds a pivotal place. Regardless of its simplicity, it’s highly effective, interpretable, and infrequently serves as a benchmark for extra complicated fashions.
This text is an entire information to understanding and making use of Logistic Regression. We’ll cowl its math, logic, varieties (binomial, multinomial, ordinal), assumptions, professionals and cons, and stroll by way of detailed code implementations in Python.
