# Stage IV: Anomaly Detection & Handling Base Framework * Statistical Methods * Machine Learning based methods e.g. OLS and random forest * Time-Series specific (only applicable for continuous data types) During EDA, statistical methods are generally preferable because they are faster, interpretable, and more aligned with exploratory decision-making. ML methods are better reserved for confirmatory or production contexts where their complexity pays off. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://whoamimi.gitbook.io/blog/projects/readme-1/gaby-ai-agent-features/data-cleaning/stage-iv-anomaly-detection-and-handling.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.