Scikit-Learn

Real-world datasets are messy. Outliers can hide patterns, distort models, and lead to bad decisions. In this article, we’ll walk through practical ways to detect them in Python - using plots, statistics, and machine learning, then apply it all on a real dataset.

Outliers can significantly skew statistical analysis and machine learning model performance. This guide covers statistical and machine learning methods to detect and handle outliers effectively in Python.