Machine Learning course from Stanford University on Coursera. We will begin by visualizing the dataset containing historical records on the change in the water level, x, and the amount of water ...

Lepto-regression is defined as the machine learning process of constructing a Regression Tree of a target feature on itself. It is a novel, model-free method potentially revealing information on ...

Abstract: Accurate real-time prediction of the coefficient of variation (CV) is crucial for ensuring filament yarn uniformity and product quality in the chemical fiber industry. For this purpose, a ...

Residual plots can be used to validate assumptions about the regression model. Figure 1: Residual plots are helpful in assessments of nonlinear trends and heteroscedasticity. A formal test of lack of ...

We propose simultaneous mean-variance regression for the linear estimation and approximation of conditional mean functions. In the presence of heteroskedasticity of unknown form, our method accounts ...