What are some effective tools for anomaly detection?

What are some effective tools for anomaly detection?

There are several tools for anomaly detection, including Isolation Forest, One-Class SVM, and Autoencoders. Do you have a specific use case in mind?

I'm working with time series data. Any recommendations?

For time series data, you might consider using Facebook's Prophet, ARIMA models, or LSTM networks. These are great for capturing trends and seasonality.

Are there any open-source options?

Yes, tools like ELK Stack, Apache Kafka, and Scikit-learn offer open-source solutions for anomaly detection. Would you like to know more about any of these?

Yes, tell me more about Scikit-learn.

Scikit-learn is a powerful Python library that provides various algorithms for machine learning, including anomaly detection methods like Isolation Forest and One-Class SVM. It's user-friendly and widely used in the industry.