3 skills found
Apply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing. Use when analyzing distributions, testing for significance, detecting anomalies, computing correlations, or interpreting statistical results.
Expert guidance for regression analysis, statistical modeling, and outlier detection in Python using statsmodels, scikit-learn, scipy, and PyOD - includes model diagnostics, assumption checking, robust methods, and comprehensive outlier detection strategies
Identify anomalies and outliers in datasets using machine learning algorithms.Use when analyzing data for unusual patterns, outliers, or unexpected deviations from normal behavior.Trigger with phrases like "detect anomalies", "find outliers", or "identify unusual patterns".
