Web Reference: LinearRegression fits a linear model with coefficients w = (w1, …, wp) to minimize the residual sum of squares between the observed targets in the dataset, and the targets predicted by the linear approximation. Use Python to build a linear model for regression, fit data with scikit-learn, read R2, and make predictions in minutes. Mar 19, 2017 · Here we implements Multiple Linear Regression class to model the relationship between multiple input features and a continuous target variable using a linear equation.
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