Linear Regression

Linear regression is a fundamental algorithm in machine learning, used for predictive analysis. It is a simple yet powerful technique that predicts the value of a target variable by fitting the best linear relationship between the dependent and independent variables.

Key Points

• Simple Linear Regression: This involves predicting the target variable using a single independent variable.
• Multiple Linear Regression: Here, the target variable is predicted using more than one independent variable.
• Linear Regression Equation: ( y = mx + b ), where ( y ) is the predicted value, ( m ) is the slope, and ( b ) is the y-intercept.

Applications

• Real Estate: Predicting house prices based on features like location, size, and number of rooms.
• Stock Market: Forecasting stock prices based on historical data.

Learning Resources

For more in-depth learning, check out our comprehensive guide on Machine Learning Algorithms.

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Linear Regression Graph