Anomaly detection - PSJoshi/Notes GitHub Wiki

Time series analysis for anomaly detection - https://blog.statsbot.co/time-series-anomaly-detection-algorithms-1cef5519aef2

Time Series Prediction Using Recurrent Neural Networks (LSTMs) - https://blog.statsbot.co/time-series-prediction-using-recurrent-neural-networks-lstms-807fa6ca7f

http://www.prcconsulting.net/2016/07/machine-learning-anomaly-detection-finding-a-needle-in-a-haystack/

https://turi.com/learn/userguide/anomaly_detection/intro.html

Search algorithms - https://searchcode.com/codesearch/view/75730640/

Kale - https://codeascraft.com/2013/06/11/introducing-kale/

Skyline - https://github.com/etsy/skyline

https://github.com/wayfair/Graphite-Tattle It monitors metrics for a defined period for what is normal 7, 14, 21 days etc for that same time period. That way metrics that change through out the day or hour etc that stray out of a defined set of standard deviations alert you.

change etsy skyline to read metrics from elasticsearch directly - https://gist.github.com/chenryn/309bed093f6a7084c855

http://www.johnwittenauer.net/machine-learning-exercises-in-python-part-3/

https://www.kaggle.com/liubenyuan/introducing-kaggle-scripts/time-series-and-anomaly-detection/code

Pandas applied to economics data - https://github.com/rsvp/fecon235#dt_2015-08-01_094628

Removing outliners - https://www.kdnuggets.com/2017/02/removing-outliers-standard-deviation-python.html

Introduction to anomaly detection - https://www.datascience.com/learn-data-science/fundamentals/introduction-to-anomaly-detection-python-data-science