BIOENGINEER

Ensemble Machine Learning Model Achieves 98.78 Percent Accuracy in 6G Network Slicing

Computer scientists have developed an ensemble machine learning framework combining Boruta feature selection and XGBoost that ...
BIOENGINEER

Machine Learning Classifies Alzheimer’s Stages Using Routine Clinical and Cognitive Data

A secondary analysis shows machine-learning models using routine clinical and cognitive variables achieved moderate-to-good ...
techtarget

4 types of machine learning models explained

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...
GitHub

Predictive Modeling for Agriculture: Sowing Success with Machine Learning

A DataCamp Machine Learning Project that predicts the best crop for a field using soil metrics through EDA, preprocessing, and classification models. - wncelrcn/Predictive-Modeling-for-Agriculture ...