Normal Equation

The Normal Equation is a mathematical formula used in statistics and machine learning to find the best-fitting line or curve for a set of data points. It helps determine the optimal parameters of a model by minimizing the difference between actual data points and predicted values. Essentially, it provides a systematic way to solve linear regression problems, allowing us to make accurate predictions based on existing data. This method ensures that the model captures the underlying trends in the data effectively, which can be crucial in various applications, from economics to engineering.