Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

Datasets were created for autumn, winter, and spring, with season-specific variables with respect to the place of study in the state of Assam, India. Multiple Linear Regression (MLR) and Artificial ...

You could sift through websites, but some Python code and a little linear regression could make the job easier. Why Build a Laptop Price Predictor? You could search through thousands ...

This study aimed to explore the impact of digital transformation on the innovation ability of enterprises to help enterprises improve their innovation capabilities in digital transformation. Using an ...

The performance of UHPC-CA was predicted in this paper based on five prediction models: multiple linear regression, multiple nonlinear regression, traditional neural network (T-BP), principal ...