Walle
Created page with "{{see also|Machine learning terms}} ==Introduction== In machine learning, '''Least Squares Regression''' is a well-established method for fitting a linear model to a set of data points. It seeks to minimize the sum of the squared differences between the observed values and the values predicted by the linear model. This technique is particularly useful in applications where the relationship between input features and the target variable is linear or near-linear. In this a..."
