Create DBSCAN Notebook for anomaly detection under Unsupervised Learning

[muskansngh07]

Description:

I would like to contribute a Jupyter Notebook that demonstrates anomaly detection using DBSCAN.

Details:

The notebook includes:

• Generating synthetic data with clusters and injected anomalies
• Standardizing features
• Applying DBSCAN for clustering and anomaly detection
• Visualizing clusters and highlighting anomalies
• Inspecting anomaly points

This notebook can be used as a reference for anomaly detection in machine learning projects.
Future improvements can include adding support for CSV datasets, parameter tuning, and extended visualizations.