The sklearn.linear_model.LinearRegression is a module in the Python scikit-learn library that provides functionality for performing linear regression analysis. Linear regression is a machine learning algorithm used for predicting a numerical target variable based on one or more independent variables. The LinearRegression module in scikit-learn implements the ordinary least squares method, which finds the best-fitting straight line that minimizes the sum of squared residuals between the predicted and actual target values. It is widely used for tasks such as predicting housing prices, stock market trends, or any other application where a linear relationship between variables is assumed. Additionally, the LinearRegression module provides methods for fitting the model to data, making predictions, evaluating model performance, and extracting model coefficients.
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