Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

This paper is a novel approach to improving the accuracy of wind power generation predictions by using linear regression (LR) algorithm differentiated with the Lasso regression (LaR). The wind power ...

In symbolic regression with formal constraints, the conventional formulation of regression problem is extended with desired properties of the target model, like symmetry, monotonicity, or convexity.

Harvard University is now offering free online Computer Science courses, making Ivy League education accessible to all. These self-paced courses, avai ...

python linear-regression scikit-learn machine-learning-algorithms ml pca gradient-descent decision-trees naive-bayes-algorithm svm-model linear-regression-models gradient-descent-algorithm ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...