A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output ...

The goal of a machine learning regression problem is to predict a single numeric value, for example ... works in the same way except that the values of the weights and bias are determined in a ...

Data Science & Machine Learning Personal Projects This repository contains a collection of Jupyter Notebooks showcasing implementations and explorations of fundamental topics in data science, machine ...

More examples in the notebooks folder. ... Explainable boosted linear regression for time series forecasting. Igor Ilic, Berk Gorgulu, Mucahit Cevik, ... About. A python library to build Model Trees ...

The random forest machine learning algorithm was slightly better than RIDGE, LASSO, and elastic net penalized regression algorithms for predicting body weight of pigs. It was possible to predict the ...