Used car price prediction using Machine Learning regression algorithms and Random Forest. - KunalGupta9321/Used-Car-Price-Prediction ...

While doing machine learning, I learned that there is a machine learning method called ridge regression. I feel like I understand it somewhat, but it also feels like I don't really get it. Therefore, ...

Hello everyone, stay safe!! This is Takachan the engineer.AI that identifies spam, AI that predicts sales, AI that ...

This project implements a Multiple Linear Regression machine learning model to predict house prices based on various property features. Unlike Simple Linear Regression, which uses only one independent ...

Machine learning models trained on controlled flume experiments identify fine sand and the first ten minutes of ...

Extremely randomized trees models trained on 96 experimental records predicted primary crack spacing in reinforced concrete ...

The stability of the Atlantic Meridional Overturning Circulation (AMOC) is a major uncertainty in projections of future ...

A gradient boosting model identified MASLD in lean adults with an AUC of 0.779, using 8 routine clinical measurements.

Identifying the neurobiological basis of cognitive vulnerability is essential for preventing Alzheimer’s disease (AD). We ...

Researchers have combined the Tabular Prior-data Fitted Network (TabPFN) with the NSGA-II genetic algorithm to predict and ...

Singla, P., Duhan, M. & Saroha, S. A comprehensive review and analysis of solar forecasting techniques. Front. Energy ...