Anomaly Detection in Machine Learning: Finding Outliers in Unlabeled Data
Learn anomaly detection in machine learning: Isolation Forest, Local Outlier Factor, Python examples, evaluation challenges, and false positives.
outlier detection
DBSCAN Clustering Explained: Core Points, Noise, and Outliers
Learn DBSCAN clustering: epsilon, min_samples, core, border and noise points, choosing parameters with a k-distance plot, Python code, and limits.