Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

You could sift through websites, but some Python code and a little linear regression could make the job easier. ...

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 ...

Weather prediction has been a delicate task in the meteorological department since times due to varied reason similar as the drastically unpredicted behaviour of climate. These predictions are ...

A machine learning project to predict the selling price of used cars using regression techniques. Includes data preprocessing, model training, evaluation, and testing on new data.

The final predictions are the sum of the raw linear predictions and the residuals modeled by the Random Forest. Linear Boosting is a two stage learning process. Firstly, a linear model is trained on ...