BIOENGINEER

Intelligent Undersampling Algorithm Enhances Machine Learning Accuracy on Imbalanced Data

Computer scientists have developed an intelligent undersampling framework that combines density-aware boundary selection with ...
BIOENGINEER

Machine learning pinpoints cheapest cobalt catalysts for destroying toluene and propane fumes

Machine learning models trained on light-off data identified Co-CO3 as the most energy-efficient cobalt catalyst for toluene ...
GitHub

Code for The Green Mirage of Carbon Uptake in a Drying World. Four machine learning models were used to estimate monthly GPP using climate and remote sensing data.

This repository contains the Python code used to reconstruct global gross primary productivity (GPP) from 1982 to 2022 using four machine learning algorithms: Random Forest (RF), Extra Trees (ET), ...
GitHub

Real-Time Air Quality Prediction Using Machine Learning

Air pollution monitoring is essential for understanding environmental conditions and assessing potential health risks. This project implements a machine learning-based approach to predict PM2.5 ...

Projects and Market Rates for Data Scientist Side Hustles

As diversity in work styles expands in society, more people are considering side hustles as data analysis professionals to ...

Trying out machine learning using scikit-learn and the Palmer Penguins dataset

IntroductionTo practice and master the machine learning I learned in class, I challenged myself to perform classification ...
globalsouthopportunities

University of Exeter Postdoctoral Research Associate / Fellow 2027 – Ocean Forecasting, Machine Learning and Marine Research

The University of Exeter has announced a full-time Postdoctoral Research Associate / Fellow opportunity within its Faculty of Environment, Science and ...
India Today on MSN

Apple becomes world's most valuable company: 5 high-paying career paths to explore

Apple's rise as the world's most valuable company puts its lucrative careers in focus. From AI and software engineering to ...