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cff-version: 1.2.0
message: "If you use this repository in teaching, research, or technical work, please cite it using the metadata below."
title: "Complete Outlier Detection Algorithms A-Z: In Data Science"
type: software
authors:
- family-names: Singla
given-names: Saurav
repository-code: "https://github.com/sauravsingla/Outlier_Detection_Tutorials"
url: "https://github.com/sauravsingla/Outlier_Detection_Tutorials"
license: MIT
keywords:
- anomaly detection
- outlier detection
- fraud detection
- machine learning
- deep learning
- data science
abstract: >-
Official companion repository for the Udemy course Complete Outlier Detection
Algorithms A-Z: In Data Science. It contains lecture notebooks, reusable Python
utilities, exercises, tests, examples, and reproducible benchmarks.