Learn how Logistic Regression works in Python through a practical tutorial that explains the core concepts, probability-based classification, regularization, and full implementation with scikit-learn. This tutorial shows step by step how to build, train, evaluate, tune, and interpret Logistic Regression models for both binary and multiclass classification using real examples and clear workflows.

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