Tutorial of the week: Detect anomalies in time series with Isolation Forest

Every week we highlight a practical tutorial from our blog. This is this week’s — worth reading if you work with Machine Learning.

What you will learn

• Step 1: Load the data and understand the problem
• Step 2: Prepare features for anomaly detection
• Step 3: Scale and train the Isolation Forest
• Step 4: Tune and reduce false positives
• Check the result

👉 View the full tutorial