How can I implement anomaly detection in my project?

How can I implement anomaly detection in my project?

To implement anomaly detection, you can start by choosing a suitable algorithm like Isolation Forest or DBSCAN.

What kind of data do I need for this?

You'll need a dataset that represents normal behavior, as well as some examples of anomalies if possible.

Are there any libraries you recommend for this?

Yes, popular libraries include Scikit-learn for Python, which has built-in functions for various anomaly detection algorithms.

How do I evaluate the performance of my anomaly detection model?

You can use metrics like precision, recall, and the F1 score to evaluate your model's performance on a test dataset.