Linear Regression, Machine Learning, Deep Learning, Jupyter Notebook, Naem Azam.
the relationship between the features and target is linear. Multivariate normality: Assumes all variables are multivariate normal. It’s basically a generalization of normal distribution over higher dimensions. No or little multicollinearity: Multicollinearity occurs when the independent variables