Data Science, Machine Learning, Linear Regression, Ridge Regression, Lasso Regression.
another. Homoscedasticity: The variance of the errors is constant across all levels of the independent variables. Normality: For any fixed value of the independent variables, the dependent variable is normally distributed. Violation of these assumptions can lead to issues such as biased parameter