ml-anomalies
CommunityAutomate Anomaly Detection and Explanation in Datasets
Data & Analytics#data analysis#anomaly detection#statistical methods#outlier detection#dataset analysis
Authormilasaurus
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Detect and explain anomalies in datasets without requiring ML expertise.
Core Features & Use Cases
- Anomaly Detection: Identify unusual items in a dataset using statistical methods.
- Explanation Generation: Provide clear, context-aware explanations for detected anomalies.
- Use Case: Detect and explain unusual transactions in a financial dataset, flagging suspicious activities.
Quick Start
Detect anomalies in the dataset 'transactions.csv' and provide explanations.
Dependency Matrix
Required Modules
pandassklearnsentence-transformers
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ml-anomalies Download link: https://github.com/milasaurus/compound-ml/archive/main.zip#ml-anomalies Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 620,000+ vetted skills library on demand.