Anomaly detection in time series with Python | Data Science with Marco

A hands-on lesson on detecting outliers in time series data using Python. Full source code: https://github.com/marcopeix/youtube_tutorials/blob/main/YT_02_anomaly_detection_time_series.ipynb Dataset can be found here: https://github.com/numenta/NAB/blob/master/data/realAWSCloudwatch/ec2_cpu_utilization_24ae8d.csv Labels can be found here: https://github.com/numenta/NAB/blob/master/labels/combined_labels.json Chapters: Introduction - 0:00 Get the data - 4:11 Robust Z-score method - 9:08 Robust Z-score method (code) - 13:12 Isolation forest - 20:48 Isolation forest (code) - 22:33 Local outlier factor - 27:16 Local outlier factor (code) - 31:21 Thank you - 34:01