Back to search
Anomaly detection in synthetic transaction and sales data with Python. Generates realistic data, injects unusual events, and applies Isolation Forest, Local Outlier Factor, and Z-score methods to detect outliers. Produces anomaly reports and visualizations for portfolio-ready demonstration of data science skills.
Stars
27
Forks
2
Watchers
27
Open Issues
0
Overall repository health assessment
No package.json found
This might not be a Node.js project
5
commits