What is logistic regression? Explain with the help of a suitable example.

Logistic regression is a statistical method used for predicting a binary outcome based on one or more independent variables. It's widely used in machine learning and statistics for classification problems. Let me explain the key concepts and provide an example.

Key aspects of logistic regression:

1. Binary outcome: The dependent variable is categorical with two possible outcomes (e.g., yes/no, 1/0).
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