The key idea is to use the strength of Linear Models to improve the nonparametric learning ability of tree-based algorithms. Firstly, a Linear Model is fitted on the whole dataset ... and Scikit-Learn ...

Soil samples were randomly separated into modeling and validation data sets, respectively ... two methods were tested: stepwise multiple linear regression (SMLR) and random forest algorithm (RF). The ...

Predicting car prices using multiple linear regression. This project uses real-world automotive data to train a machine learning model capable of estimating car prices based on technical ...