A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

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

It should be noted that quantile regression involves a non-differentiable optimization problem with a piecewise linear loss function, also known as the check function. Most existing quantile ...

Linear techniques include ordinary linear regression, L1 (lasso) and L2 (ridge) regression, and linear support vector regression (linear SVR). This article presents a demo of linear SVR, implemented ...

Linear techniques include ordinary linear regression, L1 (lasso) and L2 (ridge) regression, and linear support vector regression (linear SVR). This article presents a demo of linear SVR, implemented ...

Adaptive Lasso A scikit-learn compatible implementation of the Adaptive Lasso algorithm for feature selection and regression.

The purpose of this work is to improve the detection of fraud websites using Novel Linear Regression Algorithm and Recurrent Neural Network Algorithm. Materials and Methods: Novel Linear regression ...

Rahimov, N. and Dilmurod, K. (2015) The Application of Multiple Linear Regression Algorithm and Python for Crop Yield Prediction in Agriculture. Harvard Educational and Scientific Review, 2, 179-187.

Discover the fundamentals of linear regression and its applications. Learn more and enhance your data analysis skills today.