# Vicam/Unsupervised\_Anomaly\_Detection

<https://repo.masters-masters.com/en/repos/Vicam/Unsupervised_Anomaly_Detection>

[Home](https://repo.masters-masters.com/en) › [Vicam](https://repo.masters-masters.com/en/owners/Vicam) › [Unsupervised\_Anomaly\_Detection](https://repo.masters-masters.com/en/repos/Vicam/Unsupervised_Anomaly_Detection)

Vicam/Unsupervised\_Anomaly\_Detection has 120 stars on GitHub. Its RepoMasters card: Prototype tier. A Notebook where I implement differents anomaly detection…

| Field | Value |
| --- | --- |
| Owner | [Vicam](https://repo.masters-masters.com/en/owners/Vicam) |
| Stars | 120 |
| Forks | 64 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2017 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Vicam/Unsupervised\_Anomaly\_Detection](https://github.com/Vicam/Unsupervised_Anomaly_Detection) |

## Repository

A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the different algorithms works and their differents caracteristics.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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