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What is 4-Linear and Logistic about?

Linear Regression is used for predicting continuous numerical values, while Logistic Regression is for predicting categorical outputs, primarily binary classification. Both methods analyze relationships between independent and dependent variables but differ in their applications, advantages, and limitations. Neural networks are advanced models that mimic human brain functions, capable of learning patterns from data through processes like forward propagation and backpropagation.

Author

Hamza Bilal

Language

EN