How does Logistic Regression differ from Linear Regression?
Logistic Regression is used for classification problems, not prediction of continuous values. It applies a sigmoid function to output probabilities between 0 and 1, making it ideal for binary outcomes such as spam detection or fraud identification. Mastering this algorithm is a key skill covered in many Python Programming Certification programs focused on data analytics and machine learning.
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