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 ...
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 ...

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 ...