Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Techniques such as Raman spectroscopy, Fourier-transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR), and ...

Purdue Agriculture researchers are harnessing the power of artificial intelligence (AI) and machine learning (ML) to amplify ...

Machine learning interview questions now focus on both theory and real-world applications.Understanding basics like overfitting, bias, and regres ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

Outcomes Show in-depth knowledge of supervised and unsupervised machine learning algorithms Learn to perform some of the main techniques and algorithms for regression, classification, tree-based ...

This notebook demonstrates a supervised machine learning workflow using the Random Forest algorithm. Built on the Iris dataset, the project showcases data preprocessing, model training, prediction, ...