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Linear Regression

[ˈlɪniər rɪˈgreʃən]
Machine Learning
Last updated: December 9, 2024

Definition

A statistical method that models the relationship between variables using a linear equation.

Detailed Explanation

Linear regression finds the best-fitting line through data points by minimizing the sum of squared residuals. It assumes a linear relationship between variables and provides interpretable coefficients. The method includes techniques for handling multiple predictors and interaction terms.

Use Cases

1. Price prediction 2. Sales forecasting 3. Scientific modeling 4. Trend analysis

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