Outlier Detection — Roadmap Step & Resources
Identifying unusual values and deciding whether to investigate, cap or remove them
- Level: intermediate
- Estimated time: 1 days
- Roadmap: Data Science
Before this step
Interview questions
- When is an outlier a data error, and when is it a genuinely important signal?
Study resources
- Outlier Detection Explained (Video) — A practical walkthrough of detecting outliers with IQR and z-scores.
- Novelty and Outlier Detection (Article) — The official scikit-learn documentation on outlier detection methods.
Part of
- Exploratory Data Analysis & Data Cleaning — section
- Data Science roadmap — the full learning path