Anomaly Detection and Outlier Handling in PHP Using Machine Learning
This article explains how to detect and handle outliers in data sets using PHP and machine learning techniques, covering statistical Z‑Score detection, Isolation Forest algorithm, and practical code examples for removing or replacing anomalous values to improve data quality and model accuracy.